Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
The outer layer of the woody parts of plants.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Sequential operating programs and data which instruct the functioning of a digital computer.
Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Computer-based representation of physical systems and phenomena such as chemical processes.
The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.
In vitro method for producing large amounts of specific DNA or RNA fragments of defined length and sequence from small amounts of short oligonucleotide flanking sequences (primers). The essential steps include thermal denaturation of the double-stranded target molecules, annealing of the primers to their complementary sequences, and extension of the annealed primers by enzymatic synthesis with DNA polymerase. The reaction is efficient, specific, and extremely sensitive. Uses for the reaction include disease diagnosis, detection of difficult-to-isolate pathogens, mutation analysis, genetic testing, DNA sequencing, and analyzing evolutionary relationships.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
The failure by the observer to measure or identify a phenomenon accurately, which results in an error. Sources for this may be due to the observer's missing an abnormality, or to faulty technique resulting in incorrect test measurement, or to misinterpretation of the data. Two varieties are inter-observer variation (the amount observers vary from one another when reporting on the same material) and intra-observer variation (the amount one observer varies between observations when reporting more than once on the same material).
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
A specialty concerned with the use of x-ray and other forms of radiant energy in the diagnosis and treatment of disease.
Elements of limited time intervals, contributing to particular results or situations.
Incorrect diagnoses after clinical examination or technical diagnostic procedures.
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
Methods of creating machines and devices.
Representations, normally to scale and on a flat medium, of a selection of material or abstract features on the surface of the earth, the heavens, or celestial bodies.
A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable.
Disorders in which there is a delay in development based on that expected for a given age level or stage of development. These impairments or disabilities originate before age 18, may be expected to continue indefinitely, and constitute a substantial impairment. Biological and nonbiological factors are involved in these disorders. (From American Psychiatric Glossary, 6th ed)
The study of chance processes or the relative frequency characterizing a chance process.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
A very complex, but reproducible mixture of at least 177 C10 polychloro derivatives, having an approximate overall empirical formula of C10-H10-Cl8. It is used as an insecticide and may reasonably be anticipated to be a carcinogen: Fourth Annual Report on Carcinogens (NTP 85-002, 1985). (From Merck Index, 11th ed)
Environments or habitats at the interface between truly terrestrial ecosystems and truly aquatic systems making them different from each yet highly dependent on both. Adaptations to low soil oxygen characterize many wetland species.
Inland bodies of still or slowly moving FRESH WATER or salt water, larger than a pond, and supplied by RIVERS and streams.
The science which utilizes psychologic principles to derive more effective means in dealing with practical problems.
The planning, calculation, and creation of an apparatus for the purpose of correcting the placement or straightening of teeth.
Water containing no significant amounts of salts, such as water from RIVERS and LAKES.
The process of making a selective intellectual judgment when presented with several complex alternatives consisting of several variables, and usually defining a course of action or an idea.
Critical and exhaustive investigation or experimentation, having for its aim the discovery of new facts and their correct interpretation, the revision of accepted conclusions, theories, or laws in the light of newly discovered facts, or the practical application of such new or revised conclusions, theories, or laws. (Webster, 3d ed)
Characteristic events occurring in the ATMOSPHERE during the interactions and transformation of various atmospheric components and conditions.
Science dealing with the properties, distribution, and circulation of water on and below the earth's surface, and atmosphere.
Non-frontal low-pressure systems over tropical or sub-tropical waters with organized convection and definite pattern of surface wind circulation.
The condition in which reasonable knowledge regarding risks, benefits, or the future is not available.
Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
The volume of air inspired or expired during each normal, quiet respiratory cycle. Common abbreviations are TV or V with subscript T.
The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.
Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
The proportion of survivors in a group, e.g., of patients, studied and followed over a period, or the proportion of persons in a specified group alive at the beginning of a time interval who survive to the end of the interval. It is often studied using life table methods.
In humans, one of the paired regions in the anterior portion of the THORAX. The breasts consist of the MAMMARY GLANDS, the SKIN, the MUSCLES, the ADIPOSE TISSUE, and the CONNECTIVE TISSUES.
Evaluation undertaken to assess the results or consequences of management and procedures used in combating disease in order to determine the efficacy, effectiveness, safety, and practicability of these interventions in individual cases or series.
Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons.
A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function.
The span of viability of a cell characterized by the capacity to perform certain functions such as metabolism, growth, reproduction, some form of responsiveness, and adaptability.
A chronic, relapsing, inflammatory, and often febrile multisystemic disorder of connective tissue, characterized principally by involvement of the skin, joints, kidneys, and serosal membranes. It is of unknown etiology, but is thought to represent a failure of the regulatory mechanisms of the autoimmune system. The disease is marked by a wide range of system dysfunctions, an elevated erythrocyte sedimentation rate, and the formation of LE cells in the blood or bone marrow.
Stretches of genomic DNA that exist in different multiples between individuals. Many copy number variations have been associated with susceptibility or resistance to disease.
A single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population.
Genotypic differences observed among individuals in a population.
The number of copies of a given gene present in the cell of an organism. An increase in gene dosage (by GENE DUPLICATION for example) can result in higher levels of gene product formation. GENE DOSAGE COMPENSATION mechanisms result in adjustments to the level GENE EXPRESSION when there are changes or differences in gene dosage.
Glomerulonephritis associated with autoimmune disease SYSTEMIC LUPUS ERYTHEMATOSUS. Lupus nephritis is histologically classified into 6 classes: class I - normal glomeruli, class II - pure mesangial alterations, class III - focal segmental glomerulonephritis, class IV - diffuse glomerulonephritis, class V - diffuse membranous glomerulonephritis, and class VI - advanced sclerosing glomerulonephritis (The World Health Organization classification 1982).
Contiguous large-scale (1000-400,000 basepairs) differences in the genomic DNA between individuals, due to SEQUENCE DELETION; SEQUENCE INSERTION; or SEQUENCE INVERSION.

A method for calculating age-weighted death proportions for comparison purposes. (1/9497)

OBJECTIVE: To introduce a method for calculating age-weighted death proportions (wDP) for comparison purposes. MATERIALS AND METHODS: A methodological study using secondary data from the municipality of Sao Paulo, Brazil (1980-1994) was carried out. First, deaths are weighted in terms of years of potential life lost before the age of 100 years. Then, in order to eliminate distortion of comparisons among proportions of years of potential life lost before the age of 100 years (pYPLL-100), the denominator is set to that of a standard age distribution of deaths for all causes. Conventional death proportions (DP), pYPLL-100, and wDP were calculated. RESULTS: Populations in which deaths from a particular cause occur at older ages exhibit lower wDP than those in which deaths occur at younger ages. The sum of all cause-specific wDP equals one only when the test population has exactly the same age distribution of deaths for all causes as that of the standard population. CONCLUSION: Age-weighted death proportions improve the information given by conventional DP, and are strongly recommended for comparison purposes.  (+info)

A review of statistical methods for estimating the risk of vertical human immunodeficiency virus transmission. (2/9497)

BACKGROUND: Estimation of the risk of vertical transmission of human immunodeficiency virus (HIV) has been complicated by the lack of a reliable diagnostic test for paediatric HIV infection. METHODS: A literature search was conducted to identify all statistical methods that have been used to estimate HIV vertical transmission risk. Although the focus of this article is the analysis of birth cohort studies, ad hoc studies are also reviewed. CONCLUSIONS: The standard method for estimating HIV vertical transmission risk is biased and inefficient. Various alternative analytical approaches have been proposed but all involve simplifying assumptions and some are difficult to implement. However, early diagnosis/exclusion of infection is now possible because of improvements in polymerase chain reaction technology and complex estimation methods should no longer be required. The best way to analyse studies conducted in breastfeeding populations is still unclear and deserves attention in view of the many intervention studies being planned or conducted in developing countries.  (+info)

Statistical inference by confidence intervals: issues of interpretation and utilization. (3/9497)

This article examines the role of the confidence interval (CI) in statistical inference and its advantages over conventional hypothesis testing, particularly when data are applied in the context of clinical practice. A CI provides a range of population values with which a sample statistic is consistent at a given level of confidence (usually 95%). Conventional hypothesis testing serves to either reject or retain a null hypothesis. A CI, while also functioning as a hypothesis test, provides additional information on the variability of an observed sample statistic (ie, its precision) and on its probable relationship to the value of this statistic in the population from which the sample was drawn (ie, its accuracy). Thus, the CI focuses attention on the magnitude and the probability of a treatment or other effect. It thereby assists in determining the clinical usefulness and importance of, as well as the statistical significance of, findings. The CI is appropriate for both parametric and nonparametric analyses and for both individual studies and aggregated data in meta-analyses. It is recommended that, when inferential statistical analysis is performed, CIs should accompany point estimates and conventional hypothesis tests wherever possible.  (+info)

Incidence and duration of hospitalizations among persons with AIDS: an event history approach. (4/9497)

OBJECTIVE: To analyze hospitalization patterns of persons with AIDS (PWAs) in a multi-state/multi-episode continuous time duration framework. DATA SOURCES: PWAs on Medicaid identified through a match between the state's AIDS Registry and Medicaid eligibility files; hospital admission and discharge dates identified through Medicaid claims. STUDY DESIGN: Using a Weibull event history framework, we model the hazard of transition between hospitalized and community spells, incorporating the competing risk of death in each of these states. Simulations are used to translate these parameters into readily interpretable estimates of length of stay, the probability that a hospitalization will end in death, and the probability that a nonhospitalized person will be hospitalized within 90 days. PRINCIPAL FINDINGS: In multivariate analyses, participation in a Medicaid waiver program offering case management and home care was associated with hospital stays 1.3 days shorter than for nonparticipants. African American race and Hispanic ethnicity were associated with hospital stays 1.2 days and 1.0 day longer than for non-Hispanic whites; African Americans also experienced more frequent hospital admissions. Residents of the high-HIV-prevalence area of the state had more frequent admissions and stays two days longer than those residing elsewhere in the state. Older PWAs experienced less frequent hospital admissions but longer stays, with hospitalizations of 55-year-olds lasting 8.25 days longer than those of 25-year-olds. CONCLUSIONS: Much socioeconomic and geographic variability exists both in the incidence and in the duration of hospitalization among persons with AIDS in New Jersey. Event history analysis provides a useful statistical framework for analysis of these variations, deals appropriately with data in which duration of observation varies from individual to individual, and permits the competing risk of death to be incorporated into the model. Transition models of this type have broad applicability in modeling the risk and duration of hospitalization in chronic illnesses.  (+info)

Quantitative study of the variability of hepatic iron concentrations. (5/9497)

BACKGROUND: The hepatic iron concentration (HIC) is widely used in clinical practice and in research; however, data on the variability of HIC among biopsy sites are limited. One aim of the present study was to determine the variability of HIC within both healthy and cirrhotic livers. METHODS: Using colorimetric methods, we determined HIC in multiple large (microtome) and small (biopsy-sized) paraffin-embedded samples in 11 resected livers with end-stage cirrhosis. HIC was also measured in multiple fresh samples taken within 5 mm of each other ("local" samples) and taken at sites 3-5 cm apart ("remote" samples) from six livers with end-stage cirrhosis and two healthy autopsy livers. RESULTS: The within-organ SD of HIC was 13-1553 microg/g (CV, 3.6-55%) for microtome samples and 60-2851 microg/g (CV, 15-73%) for biopsy-sized samples. High variability of HIC was associated with mild to moderate iron overload, because the HIC SD increased with increasing mean HIC (P <0.002). Livers with mean HIC >1000 microg/g exhibited significant biological variability in HIC between sites separated by 3-5 cm (remote sites; P <0.05). The SD was larger for biopsy-sized samples than for microtome samples (P = 0.02). CONCLUSION: Ideally, multiple hepatic sites would be sampled to obtain a representative mean HIC.  (+info)

A simulation study of confounding in generalized linear models for air pollution epidemiology. (6/9497)

Confounding between the model covariates and causal variables (which may or may not be included as model covariates) is a well-known problem in regression models used in air pollution epidemiology. This problem is usually acknowledged but hardly ever investigated, especially in the context of generalized linear models. Using synthetic data sets, the present study shows how model overfit, underfit, and misfit in the presence of correlated causal variables in a Poisson regression model affect the estimated coefficients of the covariates and their confidence levels. The study also shows how this effect changes with the ranges of the covariates and the sample size. There is qualitative agreement between these study results and the corresponding expressions in the large-sample limit for the ordinary linear models. Confounding of covariates in an overfitted model (with covariates encompassing more than just the causal variables) does not bias the estimated coefficients but reduces their significance. The effect of model underfit (with some causal variables excluded as covariates) or misfit (with covariates encompassing only noncausal variables), on the other hand, leads to not only erroneous estimated coefficients, but a misguided confidence, represented by large t-values, that the estimated coefficients are significant. The results of this study indicate that models which use only one or two air quality variables, such as particulate matter [less than and equal to] 10 microm and sulfur dioxide, are probably unreliable, and that models containing several correlated and toxic or potentially toxic air quality variables should also be investigated in order to minimize the situation of model underfit or misfit.  (+info)

Wavelet transform to quantify heart rate variability and to assess its instantaneous changes. (7/9497)

Heart rate variability is a recognized parameter for assessing autonomous nervous system activity. Fourier transform, the most commonly used method to analyze variability, does not offer an easy assessment of its dynamics because of limitations inherent in its stationary hypothesis. Conversely, wavelet transform allows analysis of nonstationary signals. We compared the respective yields of Fourier and wavelet transforms in analyzing heart rate variability during dynamic changes in autonomous nervous system balance induced by atropine and propranolol. Fourier and wavelet transforms were applied to sequences of heart rate intervals in six subjects receiving increasing doses of atropine and propranolol. At the lowest doses of atropine administered, heart rate variability increased, followed by a progressive decrease with higher doses. With the first dose of propranolol, there was a significant increase in heart rate variability, which progressively disappeared after the last dose. Wavelet transform gave significantly better quantitative analysis of heart rate variability than did Fourier transform during autonomous nervous system adaptations induced by both agents and provided novel temporally localized information.  (+info)

Excess of high activity monoamine oxidase A gene promoter alleles in female patients with panic disorder. (8/9497)

A genetic contribution to the pathogenesis of panic disorder has been demonstrated by clinical genetic studies. Molecular genetic studies have focused on candidate genes suggested by the molecular mechanisms implied in the action of drugs utilized for therapy or in challenge tests. One class of drugs effective in the treatment of panic disorder is represented by monoamine oxidase A inhibitors. Therefore, the monoamine oxidase A gene on chromosome X is a prime candidate gene. In the present study we investigated a novel repeat polymorphism in the promoter of the monoamine oxidase A gene for association with panic disorder in two independent samples (German sample, n = 80; Italian sample, n = 129). Two alleles (3 and 4 repeats) were most common and constituted >97% of the observed alleles. Functional characterization in a luciferase assay demonstrated that the longer alleles (3a, 4 and 5) were more active than allele 3. Among females of both the German and the Italian samples of panic disorder patients (combined, n = 209) the longer alleles (3a, 4 and 5) were significantly more frequent than among females of the corresponding control samples (combined, n = 190, chi2 = 10.27, df = 1, P = 0.001). Together with the observation that inhibition of monoamine oxidase A is clinically effective in the treatment of panic disorder these findings suggest that increased monoamine oxidase A activity is a risk factor for panic disorder in female patients.  (+info)

In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new data set of microarray gene expression data collected in Casa Sollievo della Sofferenza Hospital, Foggia - Italy. The data set is made up of normal (22) and tumor (25) specimens extracted from 25 patients affected by colon cancer. We propose to give answers to some questions which are relevant for the automatic diagnosis of cancer such as: Is the size of the available data set sufficient to build accurate classifiers? What is the statistical significance of the associated error rates? In what ways can accuracy be considered dependant on the adopted classification scheme? How many genes are correlated with the pathology and how many are sufficient for an accurate colon cancer classification? The method we propose answers these questions whilst avoiding the potential pitfalls hidden in the analysis and interpretation of microarray data. We
The use of [1] Box-Cox power transformation in regression analysis is now common; in the last two decades there has been emphasis on diagnostics methods for Box-Cox power transformation, much of which has involved deletion of influential data cases. The pioneer work of [2] studied local influence on constant variance perturbation in the Box-Cox unbiased regression linear mode. Tsai and Wu [3] analyzed local influence method of [2] to assess the effect of the case-weights perturbation on the transformation-power estimator in the Box-Cox unbiased regression linear model. Many authors noted that the influential observations on the biased estimators are different from the unbiased estimators. In this paper I describe a diagnostic method for assessing the local influence on the constant variance perturbation on the transformation in the Box-Cox biased ridge regression linear model. Two real macroeconomic data sets are used to illustrate the methodologies.
TY - JOUR. T1 - A posteriori error estimates for viscous flow problems with rotation. AU - Gorshkova, E.. AU - Mahalov, Alex. AU - Neittaanmäki, P.. AU - Repin, S.. PY - 2007/4/1. Y1 - 2007/4/1. N2 - A new functional type a posteriori error estimates for the Stokes problem with rotating term are presented. The estimates give guaranteed upper bounds for the energy norm of the error and provide reliable error indication. Computational properties of the estimates are demonstrated by a number of numerical examples. Bibliography: 37 titles.. AB - A new functional type a posteriori error estimates for the Stokes problem with rotating term are presented. The estimates give guaranteed upper bounds for the energy norm of the error and provide reliable error indication. Computational properties of the estimates are demonstrated by a number of numerical examples. Bibliography: 37 titles.. UR - http://www.scopus.com/inward/record.url?scp=33846975805&partnerID=8YFLogxK. UR - ...
Video created by University of London for the course Statistics for International Business. For statistical analysis to work properly, its essential to have a proper sample, drawn from a population of items of interest that have measured ...
TY - JOUR. T1 - Estimating the distribution of times from HIV seroconversion to aids using multiple imputation. AU - Taylor, Jeremy M.G.. AU - Muñoz, Alvaro. AU - Bass, Sue M.. AU - Saah, Alfred J.. AU - Chmiel, Joan S.. AU - Kingsley, Lawrence A.. PY - 1990/5. Y1 - 1990/5. N2 - Multiple imputation is a model based technique for handling missing data problems. In this application we use the technique to estimate the distribution of times from HIV seroconversion to AIDS diagnosis with data from a cohort study of 4954 homosexual men with 4 years of follow‐up. In this example the missing data are the dates of diagnosis with AIDS. The imputation procedure is performed in two stages. In the first stage, we estimate the residual AIDS‐free time distribution as a function of covariates measured on the study participants with data provided by the participants who were seropositive at study entry, Specifically, we assume the residual AIDS‐free times follow a log‐normal regression model that ...
TY - JOUR. T1 - Statistical analysis and handling of missing data in cluster randomized trials. T2 - A systematic review. AU - Fiero, Mallorie H.. AU - Huang, Shuang. AU - Oren, Eyal -. AU - Bell, Melanie L. PY - 2016/2/9. Y1 - 2016/2/9. N2 - Background: Cluster randomized trials (CRTs) randomize participants in groups, rather than as individuals and are key tools used to assess interventions in health research where treatment contamination is likely or if individual randomization is not feasible. Two potential major pitfalls exist regarding CRTs, namely handling missing data and not accounting for clustering in the primary analysis. The aim of this review was to evaluate approaches for handling missing data and statistical analysis with respect to the primary outcome in CRTs. Methods: We systematically searched for CRTs published between August 2013 and July 2014 using PubMed, Web of Science, and PsycINFO. For each trial, two independent reviewers assessed the extent of the missing data and ...
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I thought I knew what it meant for data to be missing at random. After all, Ive written a book titled Missing Data, and Ive been teaching courses on missing data for more than 15 years. I really ought to know what missing at random means.. But now that Im in the process of revising that book, Ive come to the conclusion that missing at random (MAR) is more complicated than I thought. In fact, the MAR assumption has some peculiar features that make me wonder if it can ever be truly satisfied in common situations when more than one variable has missing data. First, a little background. There are two modern methods for handling missing data that have achieved widespread popularity: maximum likelihood and multiple imputation. As implemented in most software packages, both of these methods depend on the assumption that the data are missing at random.. Heres how I described the MAR assumption in my book:. Data on Y are said to be missing at random if the probability of missing data on Y is ...
In this article, we use streamline diffusion method for the linear second order hyperbolic initial-boundary value problem. More specifically, we prove a posteriori error estimates for this method for the linear wave equation. We observe that this error estimates make finite element method increasingly powerful rather than other methods.
100 Criminal Behaviour and Mental Health, 10, Whurr Publishers Ltd Some benefits of dichotomization in psychiatric and criminological research DAVID P. FARRINGTON 1 and ROLF LOEBER 2 1 Institute
CiteSeerX - Scientific documents that cite the following paper: A Bilinear Approach to the Parameter Estimation of a general Heteroscedastic Linear System with Application to Conic Fitting
TY - JOUR. T1 - SLE clinical trials. T2 - Impact of missing data on estimating treatment effects. AU - Kim, Mimi. AU - Merrill, Joan T.. AU - Wang, Cuiling. AU - Viswanathan, Shankar. AU - Kalunian, Ken. AU - Hanrahan, Leslie. AU - Izmirly, Peter. PY - 2019/10/1. Y1 - 2019/10/1. N2 - Objective A common problem in clinical trials is missing data due to participant dropout and loss to follow-up, an issue which continues to receive considerable attention in the clinical research community. Our objective was to examine and compare current and alternative methods for handling missing data in SLE trials with a particular focus on multiple imputation, a flexible technique that has been applied in different disease settings but not to address missing data in the primary outcome of an SLE trial. Methods Data on 279 patients with SLE randomised to standard of care (SoC) and also receiving mycophenolate mofetil (MMF), azathioprine or methotrexate were obtained from the Lupus Foundation of ...
This graph shows the total number of publications written about Data Interpretation, Statistical by people in Harvard Catalyst Profiles by year, and whether Data Interpretation, Statistical was a major or minor topic of these publication ...
Sure. One of the big advantages of multiple imputation is that you can use it for any analysis.. Its one of the reasons big data libraries use it-no matter how researchers are using the data, the missing data is handled the same, and handled well.. I say this with two caveats.. 1. One of the steps of multiple imputation is to combine the analysis results from the multiple data sets. This is very easy for parameter estimates, but its a big ugly formula for standard errors. Any software that does multiple imputation should do this combination for you. So, even if its theoretically possible, not all software will combine the results easily for you for all analyses.. 2. Censoring, which is related to missing data, but not the same, is common in survival analysis. You wouldnt want to multiply impute the censored data that occurs naturally in the survival analysis. Survival analysis has already come up with very good solutions to ...
Rubin (1987)s combination formula for variance estimation in multiple imputation (MI) requires a imputation method to be Bayesian-proper. However, many census bureau have heavily relied on non-Bayesian imputations. Bjørnstad (2007) suggested an inflated factor (k1) in Rubin (1987)s combination formula for non-Bayesian imputations. This paper aimed to verify the theoretical derivation of Bjørnstad (2007) in computer simulation. Within Bjørnstad (2007)s pre-assumed environment, the inflated factor, k1, closely approached the simulated true value, E(k), irrespective of sample size and missing rate. With California schools data, confidence intervals using k1 also achieved a desired coverage, (1-a)%, across varying sample size and missing rate, except in case of MNAR because of biased imputation ...
A variety of ad hoc approaches are commonly used to deal with missing data. These include replacing missing values with values imputed from the observed data (for example, the mean of the observed values), using a missing category indicator,7 and replacing missing values with the last measured value (last value carried forward).8 None of these approaches is statistically valid in general, and they can lead to serious bias. Single imputation of missing values usually causes standard errors to be too small, since it fails to account for the fact that we are uncertain about the missing values.. When there are missing outcome data in a randomised controlled trial, a common sensitivity analysis is to explore best and worst case scenarios by replacing missing values with good outcomes in one group and bad outcomes in the other group. This can be useful if there are only a few missing values of a binary outcome, but because imputing all missing values to good or bad is a strong assumption the ...
A variety of ad hoc approaches are commonly used to deal with missing data. These include replacing missing values with values imputed from the observed data (for example, the mean of the observed values), using a missing category indicator,7 and replacing missing values with the last measured value (last value carried forward).8 None of these approaches is statistically valid in general, and they can lead to serious bias. Single imputation of missing values usually causes standard errors to be too small, since it fails to account for the fact that we are uncertain about the missing values.. When there are missing outcome data in a randomised controlled trial, a common sensitivity analysis is to explore best and worst case scenarios by replacing missing values with good outcomes in one group and bad outcomes in the other group. This can be useful if there are only a few missing values of a binary outcome, but because imputing all missing values to good or bad is a strong assumption the ...
We appreciate the thoughtful comments by Subramanian and OMalley1 to our paper2 on comparing mixed models and population average models, and the opportunity this response affords us to make a stronger and more general case regarding prevalent misconceptions surrounding statistical estimation. There are several technical points made in the paper that can be debated, but we will focus on what we believe is the crux of their critique-an issue that is widely shared (either explicitly or implicitly) by analyses of a majority of researchers using statistical inference from data to support scientific hypotheses.. We start with what we hope is an accurate summary of their argument: nonparametric identifiability of a parameter of interest from the observed data, considering knowledge available on the data-generating distribution, should not be a major concern in deciding on the choice of parameter of interest within a chosen data-generating model. Instead, the scientific question should guide the types ...
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Solas is a user-friendly application for missing value imputation. Solas provides a large pool of imputation methods for missing values.
0 would be modeled by default. Information about the GEE model is displayed in Output 44.5.2. The results of GEE model fitting are displayed in Output 44.5.3. Model goodness-of-fit criteria are displayed in Output 44.5.4. If you specify no other options, the standard errors, confidence intervals, Z scores, and p-values are based on empirical standard error estimates. You can specify the MODELSE option in the REPEATED statement to create a table based on model-based standard error estimates. ...
Advanced Data Transformation is a comprehensive, enterprise-class data transformation solution for any data type, regardless of format or complexity.
A practical and accessible introduction to the bootstrap method--newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics.. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features:. ...
values in the treatment group is similar to the corresponding distribution of individuals in the control group. Ratitch and OKelly (2011) describe an implementation of the pattern-mixture model approach that uses a control-based pattern imputation. That is, an imputation model for the missing observations in the treatment group is constructed not from the observed data in the treatment group but rather from the observed data in the control group. This model is also the imputation model that is used to impute missing observations in the control group. Table 63.10 shows the variables in the data set. For the control-based pattern imputation, all missing ...
This course focuses on data-oriented approaches to statistical estimation and inference using techniques that do not depend on the distribution of the variable(s) being assessed. Topics include classical rank-based methods, as well as modern tools such as permutation tests and bootstrap methods. Advanced statistical software such as SAS or SPlus may be used, and written reports will link statistical theory and practice with communication of results.. ...
As with any experiment that is intended to test a null hypothesis of no difference between or among groups of individuals, differential expression studies using RNA-seq data need to be replicated in order to estimate within- and among-group variation. We understand that constraints in some study systems make replication very difficult, but it really is important. Statistical hypothesis tests are prone to two types of error. Failure to reject the null hypothesis of no difference when there actually is a difference (a false negative) is known as type II error, and β is used to symbolize the probability of its occurrence. The number of replicates per group in an experiment directly affects type II error, and therefore statistical power (which is 1-β). Power also depends on the magnitude of the effect of one condition relative to another on the variable of interest, which is in part determined by the degree of variation among individuals. Thirdly, power depends on the acceptable maximum ...
Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2017) Using a Surrogate Marker for Early Testing of a Treatment Effect (under review).. ...
Read The Multilevel Approach to Repeated Measures for Complete and Incomplete Data, Quality & Quantity on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
Title: Quantitative CLTs for random walks in random environments Abstract:The classical central limit theorem (CLT) states that for sums of a large number of i.i.d. random variables with finite variance, the distribution of the rescaled sum is approximately Gaussian. However, the statement of the central limit theorem doesnt give any quantitative error estimates for this approximation. Under slightly stronger moment assumptions, quantitative bounds for the CLT are given by the Berry-Esseen estimates. In this talk we will consider similar questions for CLTs for random walks in random environments (RWRE). That is, for certain models of RWRE it is known that the position of the random walk has a Gaussian limiting distribution, and we obtain quantitative error estimates on the rate of convergence to the Gaussian distribution for such RWRE. This talk is based on joint works with Sungwon Ahn and Xiaoqin Guo. ...
Title: Quantitative CLTs for random walks in random environments Abstract:The classical central limit theorem (CLT) states that for sums of a large number of i.i.d. random variables with finite variance, the distribution of the rescaled sum is approximately Gaussian. However, the statement of the central limit theorem doesnt give any quantitative error estimates for this approximation. Under slightly stronger moment assumptions, quantitative bounds for the CLT are given by the Berry-Esseen estimates. In this talk we will consider similar questions for CLTs for random walks in random environments (RWRE). That is, for certain models of RWRE it is known that the position of the random walk has a Gaussian limiting distribution, and we obtain quantitative error estimates on the rate of convergence to the Gaussian distribution for such RWRE. This talk is based on joint works with Sungwon Ahn and Xiaoqin Guo. ...
Statistics is data collection in order to later organize, analyse, interpret and also present them in a specific manner that gives inside look in the problem and probable solutions in the area that is being studied. It can be used in many spheres from science to social and industrial fields. One of the most prominent hypotheses that is used very often in statistics in the null hypothesis, because in this discipline in many cases the null hypothesis is assumed true until evidence proves otherwise.. The null hypothesis in general is a statement or default positions that suggests that between two specific measures phenomena there is no relationships. Therefore with the help of statistics researcher need to determine that there is a relationship between two phenomena in order to disprove the null hypothesis.. The null hypothesis also know as ad denoted as H0 is used in two very different statistical approaches. In the first approach called significant testing that was patented by Roland Fisher the ...
Missing Data, and multiple imputation specifically, is one area of statistics that is changing rapidly. Research is still ongoing, and each year new findings on best practices and new techniques in software appear. The downside for researchers is that some
The Psychonomic Society (PS) ado pted New Statistical Guidelines for Journals of the Psychonomic Society in November 2012. To evaluate changes in statistical re porting within and outside PS journals,
The Psychonomic Society (PS) ado pted New Statistical Guidelines for Journals of the Psychonomic Society in November 2012. To evaluate changes in statistical re porting within and outside PS journals,
Describe the correct statistical procedures for analysis for this question: How satisfied are users of the XYZ program with the service they have received? Include reference and page.
In chapter 3, The Sense of Sensibility, author Wendy Jones uses scenes from one of Jane Austens most celebrated novels to illustrate the functioning of the bodys stress response system.. 0 Comments. ...
Study the following Table and Answers carefully : Total number of college seats : 1400 College No.of Graduates No.of Post Graduates W 360 30 X 210 72 Y 420 92 Z 120 96 Total 1110 290
Introduction to statistics; nature of statistical data; ordering and manipulation of data; measures of central tendency and dispersion; elementary probability. Concepts of statistical inference and decision: estimation and hypothesis testing. Special topics include regression and correlation, and analysis of variance ...
This research is for the development of new approaches to the analysis of data from large cohort studies, either epidemiologic or clinical trials, with many qua...
The degrees of freedom associated with an estimated statistic is needed to perform hypothesis tests and to compute confidence intervals. For analyses on a subgroup of the NHANES population, the degrees of freedom should be based on the number of strata and PSUs containing the observations of interest. Stata procedures generally calculate the degrees of freedom based on the number of strata and PSUs represented in the overall dataset. Estimates for some subgroups of interest will have fewer degrees of freedom than are available in the overall analytic dataset. (See Module 4: Variance Estimation for more information.). In particular, although the ...
The main objective of this workshop is to equip students, researchers and staff involved in carrying out and supervising quantitative research, with the necessary skills to perform basic analysis of categorical and continuous quantitiatve data using Stata. This will be achieved by providing practical instruction and facilitated exercises in ...
Ng, V. K. & Cribbie, R.A. (in press). The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data. Communications in Statistics: Simulation and Computation. ...
Preface xiii Part I. Summarizing Data 1. 1. Data Organization 3. 1.1 Introduction 3. 1.2 Consideration of Variables 4. 1.3 Coding 15. 1.4 Data Manipulations 18. 1.5 Conclusion 20. 2. Descriptive Statistics for Categorical Data 33. 2.1 Introduction 33. 2.2 Frequency Tables 35. 2.3 Crosstabulations 37. 2.4 Graphs and Charts 45. 2.5 Conclusion 50. 3. Descriptive Statistics for Continuous Data 63. 3.1 Introduction 63. 3.2 Frequencies 64. 3.3 Measures of Central Tendency 70. 3.4 Measures of Dispersion 73. 3.5 Standardized Scores 79. 3.6 Conclusion 88. Part II. Statistical Tests 101. 4. Evaluating Statistical Significance 103. 4.1 Introduction 103. 4.2 Central Limit Theorem 104. 4.3 Statistical Significance 107. 4.4 The Roles of Hypotheses 115. 4.5 Conclusion 119. 5. The Chi-Square Test: Comparing Category Frequencies 125. 5.1 Introduction 125. 5.2 The Chi-Square Distribution 126. 5.3 Performing Chi-Square Tests 130. 5.4 Post Hoc Testing 143. 5.5 Confidence Intervals 146. 5.6 Explaining Results of the ...
Provides a unified mixture-of-experts (ME) modeling and estimation framework with several original and flexible ME models to model, cluster and classify heterogeneous data in many complex situations where the data are distributed according to non-normal, possibly skewed distributions, and when they might be corrupted by atypical observations. Mixtures-of-Experts models for complex and non-normal distributions (meteorits) are originally introduced and written in Matlab by Faicel Chamroukhi. The references are mainly the following ones. The references are mainly the following ones. Chamroukhi F., Same A., Govaert, G. and Aknin P. (2009) ,doi:10.1016/j.neunet.2009.06.040,. Chamroukhi F. (2010) ,https://chamroukhi.com/FChamroukhi-PhD.pdf,. Chamroukhi F. (2015) ,arXiv:1506.06707,. Chamroukhi F. (2015) ,https://chamroukhi.com/FChamroukhi-HDR.pdf,. Chamroukhi F. (2016) ,doi:10.1109/IJCNN.2016.7727580,. Chamroukhi F. (2016) ,doi:10.1016/j.neunet.2016.03.002,. Chamroukhi F. (2017) ...
P-value in statistics is the probability of getting outcomes at least as extreme as the outcomes of a statistical hypothesis test, assuming the null hypothesis to be correct.
P-values of 308 gene sets in the p53 data analysis: p-values of Global Test and ANCOVA Global Test after standardization vs. SAM-GS p-values before the standard
Hello, below is a part of an assignment. Can someone tell me whether I have to perform log transformation before or after multiply imputing the data...
According to ICH guidelines a Statistical Analysis Plan should be prepared prior to unblinding the clinical study. The aim of the Statistical Analysis Plan is to minimise bias by clearly stating the proposed methods of dealing with protocol deviators, early withdrawals, missing data, and the way(s) in which anticipated analysis problems will be handled as well as many other possible issues.. The Statistical Analysis Plan will usually include sample layouts for tables and listings to be produced. Therefore preparation of a Statistical Analysis Plan is a key component in the conduct of a rigorous clinical trial and requires a statistician with both formal statistical training and significant experience in the pharmaceutical industry.. At Statistical Revelations we have experienced statisticians who have been involved in the preparation of Statistical Analysis Plans in most therapeutic areas and all phases of clinical research.. ...
Cluster randomized trials (CRTs) randomize participants in groups, rather than as individuals and are key tools used to assess interventions in health research where treatment contamination is likely or if individual randomization is not feasible. Two potential major pitfalls exist regarding CRTs, namely handling missing data and not accounting for clustering in the primary analysis.. Ms. Mallorie Fiero, a doctoral student in biostatistics at the University of Arizona Mel and Enid Zuckerman College of Public Health and colleagues reviewed approaches for handling missing data and statistical analysis with respect to the primary outcome in CRTs. The study was published in the journal Trials.. The investigators systematically searched for CRTs published between August 2013 and July 2014 using PubMed, Web of Science, and PsycINFO. For each trial, two independent reviewers assessed the extent of the missing data and method(s) used for handling missing data in the primary and sensitivity analyses. ...
It is essential to test the adequacy of a specified regression model in order to have cor- rect statistical inferences. In addition, ignoring the presence of heteroscedastic errors of regression models will lead to unreliable and misleading inferences. In this dissertation, we consider nonparametric lack-of-fit tests in presence of heteroscedastic variances. First, we consider testing the constant regression null hypothesis based on a test statistic constructed using a k-nearest neighbor augmentation. Then a lack-of-fit test of nonlinear regression null hypothesis is proposed. For both cases, the asymptotic distribution of the test statistic is derived under the null and local alternatives for the case of using fixed number of nearest neighbors. Numerical studies and real data analyses are presented to evaluate the perfor- mance of the proposed tests. Advantages of our tests compared to classical methods include: (1) The response variable can be discrete or continuous and can have variations ...
A posteriori error estimates are derived in the context of two-dimensional structural elastic shape optimization under the compliance objective. It is known that the optimal shape features are microstructures that can be constructed using sequential lamination. The descriptive parameters explicitly depend on the stress. To derive error estimates the dual weighted residual approach for control problems in PDE constrained optimization is employed, involving the elastic solution and the microstructure parameters. Rigorous estimation of interpolation errors ensures robustness of the estimates while local approximations are used to obtain fully practical error indicators. Numerical results show sharply resolved interfaces between regions of full and intermediate material density.
Multiple imputation (MI) is a statistical technique that can be used to handle the problem of missing data. MI enables the use of all the available data without throwing any away and can avoid the bias and unrealistic estimates of uncertainty associated with other methods for handling missing data. In MI, the missing values in the data are filled in or imputed by sampling from distributions observed in the available data. This sampling is done multiple times, resulting in multiple datasets. Each of the multiple datasets is analysed and the results are combined to give overall results which reflect the uncertainty about the values of the missing data. This talk will explore what MI is, when it can be used and how to use it. The content will be accessible to a wide audience and illustrated with clear examples. ...
The HOT-COVID trial will provide patient-important data on the effect of two oxygenation targets in ICU patients with COVID-19 and hypoxia. This protocol paper describes the background, design and statistical analysis plan for the trial.
Downloadable! In the conduct of empirical macroeconomic research, unit root, cointegration, common cycle, and related test statistics are often constructed using logged data, even though there is often no clear reason, at least from an empirical perspective, why logs should be used rather than levels. Unfortunately, it is also the case that standard data transformation tests, such as those based on Box-Cox transformation, cannot be shown to be consistent unless the assumption is made concerning whether the series being examined is I(0) or I(1), so that a sort of circular testing problem exists. In this paper, we discuss two quite different but related issues that arise in the context of data transformation. First, we address the circular testing problem that arises when choosing data transformation and order of integratedness. In particular, we propose a simple randomized procedure, coupled with simple conditioning, for choosing between levels and log-levels specifications in the presence of
By Girma Kassie, Awudu Abdulai and Clemens Wollny; Abstract: This study employs a heteroscedastic hedonic price model to examine the factors that influence cattle prices in the
Intensive Care Medicine hospitals in United Kingdom. You can find all the Intensive Care Medicine hospitals in with user ratings on Doctuo.
The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coeffcients and individual effects. The ML-II posterior densities are weighted averages of the Bayes estimator under a base prior and the data-dependent empirical Bayes estimator. Two-stage and three stage hierarchy estimators are developed and their finite sample performance is investigated through a series of Monte Carlo experiments. These include standard random effects as well as Mundlak-type, Chamberlain-type and Hausman-Taylor-type models. The simulation results underscore the relatively good performance of the three-stage hierarchy estimator. Within a single theoretical framework, our Bayesian approach encompasses a variety of specifications while conventional methods require separate estimators for each case.. ...
Id like to run a special sort of conditional multiple imputation algorithm whereby the imputation model/algorithm is based purely on the data from the placebo arm of a trial and then using this created algorithm impute missing values not just for the placebo group but also for the treated group as well. It does not look like this is possible with conditional multiple imputation routine in Stata 12. Can anyone please suggest a way of doing this - fancy code, existing ado or maybe possible in Stata 13? Many thanks, Steve STEVE KAY , DIRECTOR OF STATISTICS & HEOR MODELLING , McCANN COMPLETE MEDICAL This email may contain confidential or legally privileged information, intended only for the addressee. If you have received this email in error, you are hereby notified that any disclosure, copying, distribution or reliance upon the contents of this email is strictly prohibited. Please contact the sender to arrange for correct delivery, and then delete this email. Any views or opinions presented in ...
Data Documentation - Survey ACS 2010 (5-Year Estimates); Design and Methodology: American Community Survey; Chapter 12. Variance Estimation
Downloadable! This paper develops a new methodology that decomposes shocks into homoscedastic and heteroscedastic components. This specification implies there exist linear combinations of heteroscedastic variables that eliminate heteroscedasticity. That is, these linear combinations are homoscedastic; a property we call co-heteroscedasticity. The heteroscedastic part of the model uses a multivariate stochastic volatility inverse Wishart process. The resulting model is invariant to the ordering of the variables, which we show is important for impulse response analysis but is generally important for, e.g., volatility estimation and variance decompositions. The specification allows estimation in moderately high-dimensions. The computational strategy uses a novel particle filter algorithm, a reparameterization that substantially improves algorithmic convergence and an alternating-order particle Gibbs that reduces the amount of particles needed for accurate estimation. We provide two empirical applications;
The bolometric light curve of SN 1987A up to 450 days after the outburst has been derived from broadband photometric data obtained at SAAO. The overall behaviour of the photometric light curves from U to L and for M and the color evolution of the light curves are illustrated. The bolometric light curves are compared to predicted light curves and the characteristic stages of the curves saph440b sn cburve(plate)saph440b sn curve.Do you want results only for saph440b sn cburve?(PDF) Statistical Estimation of S-N Curves for Structural saph440b sn cburve(steel) A statistical estimation method of S-N curve for structural carbon steels using their static mechanical properties was proposed. Firstly, S-N data series for pure iron and structural carbon steels saph440b sn cburve. ...
I dont think you should jump from X is colinear to estimation of β is essentially hopeless. It depends on the loss function.. Consider the changepoint problem. A piecewise constant vector Y is equal to Lβ, where L is a lower triangular matrix of 1s and β is sparse. In the presence of noise you cant find an estimate β* which will perfectly recover β. But you consider it a job well-done if the non-zero entries of β* are near the non-zero entries of β.. This suggests a loss function something like. $$\sum_{i=1}^p (\beta^*_i - a_i)^2 + \,\beta\,_0$$. where. $$a_i = \frac{1}{11}\sum_{k=i-5}^{i+5} \beta_i$$. This problem has a sequential structure, and there are similar problems with more complex structures. For example, heres a similar problem with a tree structure. You are given a phylogenetic tree of $n$ species, and for each species $i$, you are given $y_i$, the copy number of a certain gene in the genome of that species. Where, on the phylogenetic tree, did this gene undergo ...
Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide, Second Edition, by Jos W. R. Twisk provides a practical introduction to the estimation techniques used by epidemiologists for longitudinal data.
TY - JOUR. T1 - Robust regression analysis for non-normal situations under symmetric distributions arising in medical research. AU - Ganguly, S. S.. PY - 2014. Y1 - 2014. N2 - In medical research, while carrying out regression analysis, it is usually assumed that the independent (covariates) and dependent (response) variables follow a multivariate normal distribution. In some situations, the covariates may not have normal distribution and instead may have some symmetric distribution. In such a situation, the estimation of the regression parameters using Tikus Modified Maximum Likelihood (MML) method may be more appropriate. The method of estimating the parameters is discussed and the applications of the method are illustrated using real sets of data from the field of public health.. AB - In medical research, while carrying out regression analysis, it is usually assumed that the independent (covariates) and dependent (response) variables follow a multivariate normal distribution. In some ...
What is the interpretation of a confidence interval following estimation of a Box-Cox transformation parameter ?? Several authors have argued that confidence intervals for linear model parameters ? can be constructed as if ? were known in advance, rather than estimated, provided the estimand is interpreted conditionally given ??. If the estimand is defined as ? (??), a function of the estimated transformation, can the nominal confidence level be regarded as a conditional coverage probability given ??, where the interval is random and the estimand is fixed? Or should it be regarded as an unconditional probability, where both the interval and the estimand are random? This article investigates these questions via large-n approximations, small-? approximations, and simulations. It is shown that, when model assumptions are satisfied and n is large, the nominal confidence level closely approximates the conditional coverage probability. When n is small, this conditional approximation is still good for
NEW YORK (GenomeWeb News) - An array of contestants are participating in a contest to decode the DNA sequences of three children with rare diseases in order to establish best practices for genomic data interpretation, the contests organizers announced this week.
CiteSeerX - Scientific documents that cite the following paper: Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models (with discussion
Matillion, a provider of data transformation software for cloud data warehouses (CDWs), is releasing Matillion ETL for Azure Synapse to enable data transformations in complex IT environments, at scale. Empowering enterprises to achieve faster time to insights by loading, transforming, and joining together data, the release extends Matillions product portfolio to further serve Microsoft Azure customers.
p. 2147-2173. Damian Kozbur This paper analyzes a procedure called Testing‐Based Forward Model Selection (TBFMS) in linear regression problems. This procedure inductively selects covariates that add predictive power into a working statistical model before estimating a final regression. The criterion for deciding which covariate to include next and when to stop including covariates is derived from a profile of traditional statistical hypothesis tests. This paper proves probabilistic bounds, which depend on the quality of the tests, for prediction error and the number of selected covariates. As an example, the bounds are then specialized to a case with heteroscedastic data, with tests constructed with the help of Huber-Eicker-White standard errors. Under the assumed regularity conditions, these tests lead to estimation convergence rates matching other common high‐dimensional estimators including Lasso.. ...
View Notes - CDA1 from STA 6934 at University of Florida. Categorical Data Analysis Independent (Explanatory) Variable is Categorical (Nominal or Ordinal) Dependent (Response) Variable
The Parker Institute · Copenhagen University Hospital, Bispebjerg og Frederiksberg · Nordre Fasanvej 57 · Road 8, entrance 19 · DK-2000 Frederiksberg ...
SAM is a method for identifying genes on a microarray with statistically significant changes in expression, developed in the context of an actual biological experiment. SAM was successful in analyzing this experiment as well as several other experiments with oligonucleotide and cDNA microarrays (data not shown).. In the statistics of multiple testing (28-30), the family-wise error rate (FWER) is the probability of at least one false positive over the collection of tests. The Bonferroni method, the most basic method for bounding the FWER, assumes independence of the different tests. An acceptable FWER could be achieved for our microarray data only if the corresponding threshold was set so high that no genes were identified. The step-down correction method of Westfall and Young (29), adapted for microarrays by Dudoit et al. (http://www.stat.berkeley.edu/users/terry/zarray/Html/matt.html), allows for dependent tests but still remains too stringent, yielding no genes from our data.. Westfall and ...
1. With D.I section, one can test the aspirant ability to solve statistical data. 2. In Banking Industry, there is demand of those who are highly proficient in calculation. This is because bank employees need to work on statistical data on daily basis.
BookSeries: Wiley Series in Probability and Mathematical Statistics. Publisher: New York John Wiley and sons 1977Description: 311p.ISBN: 9780471308454.Subject(s): Mathematics , Multivariate Analysis , Statistical Methods , Statistical data analysis ...
I teach that statistics (done the quantile way) can be simultaneously frequentist and Bayesian, confidence intervals and credible intervals, parametric and nonparametric, continuous and discrete data. My first step in data modeling is identification of parametric models; if they do not fit, we provide nonparametric models for fitting and simulating the data. The practice of statistics, and the modeling (mining) of data, can be elegant and provide intellectual and sensual pleasure. Fitting distributions to data is an important industry in which statisticians are not yet vendors. We believe that unifications of statistical methods can enable us to advertise, What is your question? Statisticians have answers! ...
We have identified important data biases in the mammalian life-history literature, which appear to reflect a pattern of data not missing at random. That is, the probability of not having information for a trait depends on the unobserved values of that trait (Little & Rubin 2002). This presents a great challenge for analysing these data because as we have seen here deleting species with missing data greatly reduces the available sample size and introduces biases in model estimates. However, conventional techniques to fill gaps (such as multiple imputation) generally assume that data are missing at random or completely at random (Little & Rubin 2002; Nakagawa & Freckleton 2008). For data not missing at random, it is possible to use imputation but a clear understanding of the mechanism causing the missing data is generally necessary. However, missing data in PanTHERIA are likely missing as a result of multiple mechanisms. For example, some species may be harder to study because of their life ...
This talk will present a series of work on probabilistic hashing methods which typically transform a challenging (or infeasible) massive data computational problem into a probability and statistical estimation problem. For example, fitting a logistic regression (or SVM) model on a dataset with billion observations and billion (or billion square) variables would be difficult. Searching for similar documents (or images) in a repository of billion web pages (or images) is another challenging example.
View Notes - lect04 from CHL 5210H at University of Toronto. Categorical Data Analysis - Lei Sun 1 CHL 5210 - Statistical Analysis of Qualitative Data Topic: Logistic Regression Outline • Single
Simultaneous tests of a huge number of hypotheses is a core issue in high flow experimental methods such as microarray for transcriptomic data. In the central debate about the type I error rate, Benjamini and Hochberg (1995) have proposed a procedure that is shown to control the now popular False Discovery Rate (FDR) under assumption of independence between the test statistics. These results have been extended to a larger class of dependency by Benjamini and Yekutieli (2001) and improvements have emerged in recent years, among which step-up procedures have shown desirable properties. The present paper focuses on the type II error rate. The proposed method improves the power by means of double-sampling test statistics integrating external information available both on the sample for which the outcomes are measured and also on additional items. The small sample distribution of the test statistics is provided and simulation studies are used to show the beneficial impact of introducing relevant ...
Methods for Statistical and Visual Comparison of Imputation Methods for Missing Data in Software Cost Estimation: 10.4018/978-1-60960-215-4.ch009: Software Cost Estimation is a critical phase in the development of a software project, and over the years has become an emerging research area. A common
TY - JOUR. T1 - Protecting against nonrandomly missing data in longitudinal studies. AU - Brown, C. H.. PY - 1990/7/25. Y1 - 1990/7/25. N2 - Nonrandomly missing data can pose serious problems in longitudinal studies. We generally have little knowledge about how missingness is related to the data values, and longitudinal studies are often far from complete. Two approaches that have been used to handle missing data-use of maximum likelihood with an ignorable mechanism and direct modeling of the missing data mechanism-have the disadvantage of not giving consistent estimates under important classes of nonrandom mechanisms. We introduce two protective estimators, that is, estimators that retain their consistency over a wide range of nonrandom mechanisms. We compare these protective estimators using longitudinal data from a mental health panel study. We also investigate their robustness to certain departures from normality.. AB - Nonrandomly missing data can pose serious problems in longitudinal ...
Weighted least squares estimates, to give more emphasis to particular data points. Heteroskedasticity and the problems it causes for inference. How weighted least squares gets around the problems of heteroskedasticity, if we know the variance function. Estimating the variance function from regression residuals. An iterative method for estimating the regression function and the variance function together. Locally constant and locally linear modeling. Lowess. Reading: Notes, chapter 7 ...
Descriptive statistics provide important information about variables to be analyzed. Mean, median, and mode measure central tendency of a variable. Measures of dispersion include variance, standard deviation, range, and interquantile range (IQR). Researchers may draw a histogram, stem-and-leaf plot, or box plot to see how a variable is distributed. Statistical methods are based on various underlying assumptions. One common assumption is that a random variable is normally distributed. In many statistical analyses, normality is often conveniently assumed without any empirical evidence or test. But normality is critical in many statistical methods. When this assumption is violated, interpretation and inference may not be reliable or valid. The t-test and ANOVA (Analysis of Variance) compare group means, assuming a variable of interest follows a normal probability distribution. Otherwise, these methods do not make much sense. Figure 1 illustrates the standard normal probability distribution and a ...
Structural equation modeling may be the appropriate method. It tends to be most useful and valid when you have multiple links that you want to identify in a causal chain; when multivariate normality is present; when any missing data are missing completely at random; when N is fairly large; and (I think) when variables are measured without much error. Absent such conditions, exploratory factor analysis scores may be quite useful as regression predictors, assuming the EFA (as well as the regression) is done in a sound, thoughtful way. A lot of people make the mistake of treating EFA as a routinized procedure, as you can read about in the wonderful article Repairing Tom Swifts Electric Factor Analysis Machine. EFA involves many decision points and few iron-clad guidelines for them. 42.2% of all EFA solutions that I run across smack of what I believe to be significant errors in choice of extraction method, number of factors to extract, inclusion/exclusion of variables, or others.. ...
This unit covers methods for dealing with data that falls into categories. Learn how to use bar graphs, Venn diagrams, and two-way tables to see patterns and relationships in categorical data.
Initialize the centers of categorical data cluster using genetic approach: A Method - written by Kusha Bhatt, Pankaj Dalal published on 2018/07/30 download full article with reference data and citations
Buy Analysis of Randomly Incomplete Data Without Imputation (SpringerBriefs in Statistics 2012) by Tejas Desai From WHSmith today! FREE delivery to stor...
Advanced power and sample size calculator online: calculate sample size for a single group, or for differences between two groups (more than two groups supported for binomial data). ➤ Sample size calculation for trials for superiority, non-inferiority, and equivalence. Binomial and continuous outcomes supported. Calculate the power given sample size, alpha and MDE.
Unlock the value of your data with Minitab Statistical Software. Drive cost containment, improve quality & increase effectiveness through data analysis.
Video created by University of Washington for the course Practical Predictive Analytics: Models and Methods. Learn the basics of statistical inference, comparing classical methods with resampling methods that allow you to use a simple program ...
Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics) de A. C. Davison; D. V. Hinkley en Iberlibro.com - ISBN 10: 0521573912 - ISBN 13: 9780521573917 - Cambridge University Press - 1997 - Tapa dura
The two-stage design in a non-stringent test situation. (A) Data simulation experiment: empirical density functions of the DE genes (solid curve), noisy non-DE
Video created by Johns Hopkins University for the course Statistical Reasoning for Public Health 1: Estimation, Inference, & Interpretation. This module consists of a single lecture set on time-to-event outcomes. Time-to-event data comes ...
After 33 volumes, Statistical Methodology will be discontinued as of 31st December 2016. At this point the possibility to submit manuscripts has been...
Much of Lomborg's examination of his Litany is based on statistical data analysis, therefore his work may be considered a work ... However, The Skeptical Environmentalist is methodologically eclectic and cross-disciplinary, combining interpretation of data ... "distortion of statistical data" had to be deliberate or not; Not properly documenting that The Skeptical Environmentalist was a ... Fabrication of data; Selective discarding of unwanted results (selective citation); Deliberately misleading use of statistical ...
... the model makes no statistical assumptions about the data. In other words, the data need not be random (as in nearly all other ... A Statistical Interpretation of Term Specificity and Its Application in RetrievalEdit. *Karen Spärck Jones ... Description: Completeness of Data Base Sublanguages. The Entity Relationship Model - Towards a Unified View of DataEdit. *Peter ... Description: Conceived a statistical interpretation of term specificity called Inverse document frequency (IDF), which became a ...
The data acquired for quantitative marketing research can be analysed by almost any of the range of techniques of statistical ... Interpretation is a skill mastered only by experience. ... using statistical software. The data collection steps, can in ... Data collection. Data analysis. Report writing & presentation. A brief discussion on these steps is: Problem audit and problem ... An important set of techniques is that related to statistical surveys. In any instance, an appropriate type of statistical ...
Nelder, J. A. (1990). The knowledge needed to computerise the analysis and interpretation of statistical information. In Expert ... Further information: Ordinal data. The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, ... The studentized range and the coefficient of variation are allowed to measure statistical dispersion. All statistical measures ... Central tendency and statistical dispersion[edit]. The geometric mean and the harmonic mean are allowed to measure the central ...
Statistical data type. References[edit]. *^ a b Kirch, Wilhelm, ed. (2008). "Level of Measurement". Encyclopedia of Public ... Nelder, J. A. (1990). The knowledge needed to computerise the analysis and interpretation of statistical information. In Expert ... Further information: Ordinal data. The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, ... The studentized range and the coefficient of variation are allowed to measure statistical dispersion. All statistical measures ...
Statistics, the science concerned with collecting and analyzing data, is an autonomous discipline (and not a subdiscipline of ... Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include sound, images, ... The related field of mathematical statistics develops statistical theory with mathematics. ... Historically, information theory was developed to find fundamental limits on compressing and reliably communicating data. ...
Their interpretation of the data set the eccentricity at 0.47. Using a statistical computer program, another team reinterpreted ... the same data for a lower eccentricity of 0.33. HD 188015 b HD 20782 b Balan, Sreekumar T.; Ofer Lahav (2008). "ExoFit: Orbital ...
Interpretation of quality control data involves both graphical and statistical methods. Quality control data is most easily ... The formulation of Westgard rules were based on statistical methods. Westgard rules are commonly used to analyse data in ... The control chart, also known as the Shewhart chart or process-behavior chart, is a statistical tool intended to assess the ... Control charts are a statistical approach to the study of manufacturing process variation for the purpose of improving the ...
"Statistical interpretation of data - Part 6: Determination of statistical tolerance intervals". ISO 16269-6. 2014. p. 2. " ... ISO 16269-6, Statistical interpretation of data, Part 6: Determination of statistical tolerance intervals, Technical Committee ... The meaning and interpretation of these intervals are well known. For example, if the confidence interval X ¯ ± t n − 1 , 0.975 ... It was noted that the log-transformed lead levels fitted a normal distribution well (that is, the data are from a lognormal ...
Probabilistic interpretations and statistical uses". Journal of the American Statistical Association. 78 (383): 628. doi: ... Glüsenkamp, T. (2018). "Probabilistic treatment of the uncertainty from the finite size of weighted Monte Carlo data". EPJ Plus ... and are connected to statistical applications in various ways, for example in Bayesian analysis. Some Dirichlet averages are so ...
While the philosophical interpretations are old, the statistical terminology is not. The current statistical terms "Bayesian" ... a statistic is calculated from the experimental data, a probability of exceeding that statistic is determined and the ... In statistics the alternative interpretations enable the analysis of different data using different methods based on different ... Fisher, R. (1955). "Statistical Methods and Scientific Induction" (PDF). Journal of the Royal Statistical Society, Series B. 17 ...
... is a statistical technique to aid interpretation of data. When a series of measurements of a process ... It says what fraction of the variance of the data is explained by the fitted trend line. It does not relate to the statistical ... Thus far the data have been assumed to consist of the trend plus noise, with the noise at each data point being independent and ... Real data (for example climate data) may not fulfill these criteria. This is important, as it makes an enormous difference to ...
... and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design ... calculated from a set of data, whose plural is statistics ("this statistic seems wrong" or "these statistics are misleading"). ... National Space Science Data Center (NSSDC) - NASA Science "Space science , Define Space science at Dictionary.com". Based on ... "Statistic". Merriam-Webster Online Dictionary. Steele, Katie and Stefánsson, H. Orri, "Decision Theory", The Stanford ...
These tools are helpful for collection, analysis, and interpretation of immunological data. They include text mining, ... A variety of computational, mathematical and statistical methods are available and reported. ... there have been many fold increase in generation of molecular and immunological data. The data are so diverse that they can be ... toward repurposing of open access immunological assay data for translational and clinical research". Scientific Data. 5: 180015 ...
Indeed, some seek to develop statistical tests to determine the presence of these properties in their data... Once one has ... Jaynes used this concept to argue against Copenhagen interpretation of quantum mechanics. He described the fallacy as follows ...
Kaufman, L.; Rousseeuw, P.J. (1987). "Clustering by means of Medoids". Statistical Data Analysis Based on the L1-Norm and ... ISBN 0-471-87876-6. Rousseeuw, Peter J. (1987). "Silhouettes: A graphical aid to the interpretation and validation of cluster ... Rousseeuw, Peter J.; Van Driessen, Katrien (2006). "Computing LTS Regression for Large Data Sets". Data Mining and Knowledge ... He proposed the Least Trimmed Squares method and S-estimators for robust regression, which can resist outliers in the data. He ...
Data manipulation is a serious issue/consideration in the most honest of statistical analyses. Outliers, missing data and non- ... data analysis, documentation, presentation and interpretation. "[S]tatisticians should be involved early in study design, as ... Data dredging is an abuse of data mining. In data dredging, large compilations of data are examined in order to find a ... A few of the fallacies are explicitly or potentially statistical including sampling, statistical nonsense, statistical ...
Violations of measurement invariance may preclude meaningful interpretation of measurement data. Tests of measurement ... For each model being compared (e.g., Equal form, Equal Intercepts) a χ2 fit statistic is iteratively estimated from the ... Measurement invariance or measurement equivalence is a statistical property of measurement that indicates that the same ... for significance as an indication of whether increasingly restrictive models produce appreciable changes in model-data fit. ...
... analysis and interpretation of data. A number of specialties have evolved to apply statistical and methods to various ... Statistical signal processing utilizes the statistical properties of signals to perform signal processing tasks. Statistical ... Business analytics is a rapidly developing business process that applies statistical methods to data sets (often very large) to ... Astrostatistics is the discipline that applies statistical analysis to the understanding of astronomical data. Biostatistics is ...
... statistical data using empirical evidence is used to bring relevance to particular phenomena. Interpretation: Policymakers make ... Data-driven policy making aims to make use of data and collaborate with citizens to co-create policy. Policy makers can now ... Data-driven policy is a policy designed by a government based on existing data, evidence, rational analysis and use of ... Evidence-based policy is associated with Adrian Smith because in his 1996 presidential address to the Royal Statistical Society ...
Drop size data depend on many variables, and are always subject to interpretation. The following guidelines are suggested to ... The two most widely used methods of measuring the surface area density are Laser Sheet Imaging and Statistical Extinction ... Data collection repeatability and accuracy An average value drop size test result is repeatable if the data from individual ... Instrumentation and reporting bias directly affect drop size data. Select the drop size mean and diameter of interest that is ...
Methods of statistical analysis may be included to guide interpretation of the data. bias: Many protocols include provisions ... When it is known during the experiment which data was negative there are often reasons to rationalize why that data shouldn't ... including statistical analysis and any rules for predefining and documenting excluded data to avoid bias. Similarly, a protocol ... The sample size is another important concept and can lead to biased data simply due to an unlikely event. A sample size of 10, ...
Weiss, Hilda P.: Durkheim, Denmark, and Suicide: A Sociological Interpretation of Statistical Data. In: Acta Sociologica 7, ... Weiss had studied earlier German survey research ventures, especially Max Weber's pioneering protocols to solicit data about ...
September 2012). "Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool". Global Health ... which set out to analyse standard VA data using a more complex statistical method. Around the same time, the Population Health ... As it became increasingly clear that automated interpretation of VA was a promising approach, WHO gave further attention to the ... Fantahun M, Fottrell E, Berhane Y (2006). "Assessing a new approach to verbal autopsy interpretation in a rural Ethiopian ...
... so sequence data can bypass statistical filters used to check the validity of data. Due to sequencing errors, great caution ... should be applied to interpretation of population size. Substitutions resulting from deamination of cytosine residues are ... "Unravelling the mummy mystery - using DNA". Archived from the original on December 14, 2009 - no data on YDNA only mtDNA ... samples from USA no sequence data here. " ...
manipulating statistical data. *deliberately mis-translating texts. This type of historical revisionism can present a re- ... In historiography, the term historical revisionism identifies the re-interpretation of an historical account.[1] It usually ... Access to new data: much historical data has been lost. Even archives must make decisions based on space and interest on what ... Interpretations of the past are subject to change in response to new evidence, new questions asked of the evidence, new ...
InterpretationEdit. Being a function of the data x. {\displaystyle x}. , the likelihood ratio is therefore a statistic. The ... The likelihood ratio test statistic is [5]. Λ. (. x. ). =. sup. {. L. (. θ. ∣. x. ). :. θ. ∈. Θ. 0. }. sup. {. L. (. θ. ∣. x. ) ... the statistic is known as a log-likelihood ratio statistic, and the probability distribution of this test statistic, assuming ... for the data and compare −. 2. log. ⁡. (. Λ. ). {\displaystyle -2\log(\Lambda )}. to the χ. 2. {\displaystyle \chi ^{2}}. value ...
Data mining (applying statistics and pattern recognition to discover knowledge from data) Data science Demography (statistical ... Interpretation often comes down to the level of statistical significance applied to the numbers and often refers to the ... Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using ... A standard statistical procedure involves the collection of data leading to test of the relationship between two statistical ...
iv) Deviation from statistical laws observed in election data. (v) Using machine learning algorithms to detect anomalies. ... Election forensics is considered advantageous in that data is objective, rather than subject to interpretation. It also allows ... It uses statistical tools to determine if observed election results differ from normally occurring patterns. These tools can be ... Disadvantages of election forensics include its inability to actually detect fraud, just data anomalies that may or may not be ...
Data availabilityEdit. Microdata from the 2000 census is freely available through the Integrated Public Use Microdata Series. ... The state of Utah then filed another lawsuit alleging that the statistical methods used in computing the state populations were ... In determining the meaning of any Act of Congress, or of any ruling, regulation or interpretation of the various administrative ... This automatic software data compiling method, called allocation, was designed to counteract mistakes and discrepancies in ...
Statistical data type. References[edit]. *^ a b Kirch, Wilhelm, ed. (2008). "Level of Measurement". Encyclopedia of Public ... Nelder, J. A. (1990). The knowledge needed to computerise the analysis and interpretation of statistical information. In Expert ... Further information: Ordinal data. The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, ... The studentized range and the coefficient of variation are allowed to measure statistical dispersion. All statistical measures ...
Statistical significance and interpretation" (PDF). Quarterly Journal of the Royal Meteorological Society. 128: 2145-2166. doi: ... Ordinal data. The Mann-Whitney U test is preferable to the t-test when the data are ordinal but not interval scaled, in which ... ρ statistic[edit]. A statistic called ρ that is linearly related to U and widely used in studies of categorization ( ... Area-under-curve (AUC) statistic for ROC curves[edit]. The U statistic is equivalent to the area under the receiver operating ...
... but a thoughtful re-examination of the data indicates that such an interpretation can only be regarded as the result of wishful ... if they only afterward chose the statistical analysis that showed the greatest success, then their conclusions would not be ... Dowsing is also known as divining (especially in reference to interpretation of results),[4] doodlebugging[5] (particularly in ... Five years after the Munich study was published, Jim T. Enright, a professor of physiology who emphasised correct data analysis ...
Parietal lobe: Tumors here may result in poor interpretation of languages, decreased sense of touch and pain, and poor spatial ... "Central Brain Tumor Registry of the United States, Primary Brain Tumors in the United States, Statistical Report, 2005-2006" ( ... UCLA Neuro-Oncology publishes real-time survival data for patients with a diagnosis of glioblastoma multiforme. They are the ... Worldwide data on incidence of cancer can be found at the WHO (World Health Organisation) and is handled by the IARC ( ...
"Statistical Calculation and Development of Glass Properties. Archived from the original on 2007-10-15.. ... RefractiveIndex.INFO Refractive index database featuring online plotting and parameterisation of data ... and claims to explain the contradicting experimental results using this interpretation.[46] ...
Instead, ψ is an abstract mathematical function that contains all the statistical information that an observer can obtain from ... A key focus point is that of wave function collapse, for which several popular interpretations assert that measurement causes a ... and she behaves the way she is going to behave whether you bother to take down the data or not." (. Feynman, Richard (2015). ... In the ambit of the so-called hidden-measurements interpretation of quantum mechanics, the observer-effect can be understood as ...
Statistical methods commonly used in other areas of psychology are also used in OHP-related research. Statistical methods used ... a b Raudenbush, S.W., & Bryk, A.S. (2001). Hierarchical linear models: Applications and data analysis methods (2nd ed.). ... Frese, M. (1985). Stress at work and psychosomatic complaints: A causal interpretation. Journal of Applied Psychology, 70, 314- ... 2012). Annual statistical report on the Social Security Disability Insurance Program, 2011. Washington, DC: Author. [9] ...
A compatibilist interpretation of Aquinas's view is defended thus: "Free-will is the cause of its own movement, because by his ... In the philosophy of decision theory, a fundamental question is: From the standpoint of statistical outcomes, to what extent do ... Others have argued that data such as the Bereitschaftspotential undermine epiphenomenalism for the same reason, that such ... A brief discussion of possible interpretation of these results is found in David A. Rosenbaum (2009). Human Motor Control (2nd ...
Large amounts of data are run through computer programs to analyse the impact of certain policies; IMPLAN is one well-known ... Keynes and the "Classics": A Suggested Interpretation". Econometrica. 5 (2): 147-159. doi:10.2307/1907242. JSTOR 1907242.. ... Statistical methods such as regression analysis are common. Practitioners use such methods to estimate the size, economic ... Economic theories are frequently tested empirically, largely through the use of econometrics using economic data.[156] The ...
Postmodernism, the school of "thought" that proclaimed "There are no truths, only interpretations" has largely played itself ... Data from Wikidata *Daniel Dennett at Tufts University. *. Hurley, Matthew M.; Dennett, Daniel C.; Adams, Jr, Reginald B. (2011 ... multitrack processes of interpretation and elaboration of sensory inputs. Information entering the nervous system is under ...
The validity (statistical validity and test validity) of the MBTI as a psychometric instrument has been the subject of much ... For them, the meaning is in the data. On the other hand, those who prefer intuition tend to trust information that is less ... may distort responses to the closed items on structured tests and biases from the constructers may affect result interpretation ... In 1991, a National Academy of Sciences committee reviewed data from MBTI research studies and concluded that only the I-E ...
"Statistical Science. 15 (3): 254-278. doi:10.1214/ss/1009212817.. (Mostly about A.A. Michelson, but considers forerunners ... Time is normalized (hours since midnight rather than since noon); values on even rows are calculated from the original data.. ... That interpretation makes it possible to calculate the strict result of Rømer's observations: The ratio of the speed of light ... However, many others calculated a speed from his data, the first being Christiaan Huygens; after corresponding with Rømer and ...
Microsoft claimed that the variant is based on a statistical analysis of historical data from Kuwait, however it matches a ... Different interpretations of the concept of Nasī' have been proposed.[7] Some scholars, both Muslim[8][9] and Western,[4][5] ... "Interpretation of the Meaning of The Noble Quran Translated into the English Language By Dr. Muhammad Taqi-ud-Din Al-Hilali Ph. ... This interpretation was first proposed by the medieval Muslim astrologer and astronomer Abu Ma'shar al-Balkhi, and later by al- ...
In Hewitt, K. (ed.) Interpretations of Calamity: from the Viewpoint of Human Ecology. Boston: Allen & Unwin. 231-262. ... BNF: cb12279903x (data). *GND: 13359193X. *ISNI: 0000 0001 0902 2618. *SNAC: w67f087x ... Mathematical, statistical, and computer sciences. 1960s. *1963: Norbert Wiener. *1964: Solomon Lefschetz ...
Description of NOMINATE Data. *^ Poole, Keith T. (2005). Spatial Models of Parliamentary Voting. Cambridge University Press. pp ... Interpretation of nominate scores[edit]. For illustrative purposes, consider the following plots which use W-NOMINATE scores to ... for developing statistical software that makes a significant research contribution".[3] In 2016, Keith T. Poole was awarded the ... NOMINATE has produced data that entire bodies of our discipline-and many in the press-have relied on to understand the U.S. ...
Important areas of study include chemical thermodynamics, chemical kinetics, electrochemistry, statistical mechanics, ... are unintelligible nonsense which refuses any interpretation. ... BNF: cb119704650 (data). *GND: 4009816-3. *HDS: 008259. *LCCN: ...
No interpretation, no matter how subtle, can (for me) change anything about this. [...] For me the Jewish religion like all ... He is best remembered for the Mahalanobis distance, a statistical measure and for being one of the members of the first ... "Among celebrity atheists with much biographical data, we find leading psychologists and psychoanalysts. We could provide a long ... Paul Ehrenfest (1880-1933): Austrian and Dutch theoretical physicist, who made major contributions to the field of statistical ...
lowP: Planck polarization data in the low-ℓ likelihood lensing: CMB lensing reconstruction ext: External data (BAO+JLA+H0). BAO ... In Feigelson, E. D.; Babu, G. J. Statistical Challenges in Modern Astronomy. Springer-Verlag. pp. 275-297. Bibcode:1992scma. ... By combining the Planck data with external data, the best combined estimate of the age of the universe is 7017435463322400000♠( ... The age of the universe based on the best fit to Planck 2015 data alone is 7001138130000000000♠13.813±0.038 billion years (the ...
The current judicial interpretation of the U.S. Constitution regarding abortion in the United States, following the Supreme ... According to a 1987 study that included specific data about late abortions (i. e., abortions "at 16 or more weeks' gestation"), ... from Guttmacher Institute does not include the 13 000 statistic though, nor does the 2003 version. ...
Statistical coupling analysis[edit]. This section is empty. You can help by adding to it. (May 2014) ... INTERSNP - a software for genome-wide interaction analysis (GWIA) of case-control and case-only SNP data, including analysis of ... Confusion often arises due to the varied interpretation of 'independence' among different branches of biology.[14] The ... Many of these rely on machine learning to detect non-additive effects that might be missed by statistical approaches such as ...
Appendices listing and interpretation of state acts regarding "Aborigines"[permanent dead link]: Appendix 1.1 NSW[permanent ... Based on census data, the preliminary estimate of Indigenous resident population of Australia was 649,171, broken down as ... "A statistical overview of Aboriginal and Torres Strait Islander peoples in Australia: Social Justice Report 2008". Australian ... Due to the nature of the issue, quantitative data were difficult to collect and therefore the author relied on a large amount ...
Ethnic data] (PDF). Hungarian Central Statistical Office (in Hungarian). Budapest. ISBN 978-963-235-542-9. Retrieved 9 January ... It emerged at the climax of the process that began in Central and Eastern Europe in the late-1980s, when the interpretation of ... "2011 National Household Survey: Data tables". Retrieved 11 February 2014.. *^ "Census of Population, Households and Dwellings ... 2011 census data, based on table 7 Population by ethnicity, gives a total of 621,573 Roma in Romania. This figure is disputed ...
Serial ATA (SATA). The SATA data cable has one data pair for differential transmission of data to the device, and one pair for ... Decimal and binary unit prefixes interpretation[92][93]. Capacity advertised by manufacturers[g]. Capacity expected by some ... Average rotational latency is shown in the table, based on the statistical relation that the average latency is one-half the ... The 40-pin IDE/ATA connection transfers 16 bits of data at a time on the data cable. The data cable was originally 40-conductor ...
This means that not only interview or observational data but also surveys or statistical analyses or "whatever comes the ... the strategy of Grounded Theory is to take the interpretation of meaning in social interaction on board and study "the ... Within this approach, a literature review is used in a constructive and data-sensitive way without forcing it on data.[28][29] ... A modifiable theory can be altered when new relevant data are compared to existing data. A GT is never right or wrong, it just ...
Inggris) OMB Statistical Directive 15, "Standards for Maintaining, Collecting, and Presenting Federal Data on Race and ... Artikel utama: Social interpretations of race dan Rasisme. Para antropolog dan ilmuwan evolusi lain sudah beralih dari istilah ... Setelah meneliti data dari pemetaan genom tersebut, Venter melihat bahwa walau besaran variasi genetik dalam spesies manusia ... "most of the information that distinguishes populations is hidden in the correlation structure of the data and not simply in the ...
This name is possibly based upon the root "ʕ-b-r" (עבר) meaning "to cross over". Interpretations of the term "ʕibrim" link it ... Languages Spoken at Home by Language: 2009", The 2012 Statistical Abstract, U.S. Census Bureau, archived from the original on ...
"Statistical Report On General Elections, 1951 to The First Lok Sabha: List of Successful Candidates" (PDF). Election Commission ... What does the word mean? There are two interpretations. One is by Prof. Max Muller. The other is by Sayanacharya. According to ...
This specialist is skilled in the analysis and interpretation of comprehensive polysomnography, and well-versed in emerging ... see Diagnostic and Statistical Manual of Mental Disorders)). ... Source of data. Sleep variable. Community. TBI. Community. TBI ...
Statistical Abstract of Israel, 2009, CBS. "Table 2.24 - Jews, by country of origin and age" (PDF). Retrieved 22 March 2010.. ... "Post-medieval Jewish Interpretation." The Jewish Study Bible. Ed. Adele Berlin and Marc Zvi Brettler. New York: Oxford ... In comparison with data available from other relevant populations in the region, Jews were found to be more closely related to ... Religious Jews have Minhagim, customs, in addition to Halakha, or religious law, and different interpretations of law. ...
Many of the topics discussed in this chapter pertain to experimental data in general, but the context of their use and examples ... The discussion focuses on the statistical interpretation of data rather than on the statistical procedures used in the data ... Safety Factor Toxicity Data Linear Extrapolation Tumor Rate Statistical Interpretation These keywords were added by machine and ... Gaylor D.W. (1987) Statistical Interpretation of Toxicity Data. In: Tardiff R.G., Rodricks J.V. (eds) Toxic Substances and ...
ASQ/ANSI/ISO 16269-7:2001: Statistical interpretation of data - Part 7: Median - Estimation and confidence intervals. PDF, 20 ... ASQ/ANSI/ISO 16269-4:2010: Statistical interpretation of data - Part 4: Detection and treatment of outliers ... ASQ/ANSI/ISO 16269-7:2001: Statistical interpretation of data - Part 7: Median - Estimation and confidence intervals ... ASQ/ANSI/ISO 16269-7:2001: Statistical interpretation of data - Part 7: Median - Estimation and confidence intervals ...
... a tissue image analysis service that generates unique cellular data profiles for robust quantitative solutions and tissue data ... Our tissue data approach incorporates image analysis, machine learning, statistical analysis, and pathologist oversight. This ... Our patented, cell-based tissue analysis delivers high-complexity, data-rich tissue interpretations that remove the inherent ... Capture thousands of data points per cell. *Identify cells through a process that optimizes tissue and cell differentiation in ...
instance:"regional") AND ( year_cluster:("2002") AND pais_afiliacao:("^iUnited States^eEstados"))(instance:"regional") AND ( year_cluster:("2002") AND pais_afiliacao:("^iUnited States^eEstados"))(instance:"regional") AND ( year_cluster:("2002") AND pais_afiliacao:("^iUnited States^eEstados"))(instance:"regional") AND ( year_cluster:("2002") AND pais_afiliacao:("^iUnited States^eEstados ...
Data Management, Interpretation, Statistical Analysis, Reporting and Quality Assurance/Quality Control. Applicants are expected ... Applicants are expected to interpret data through statistical analysis and report findings to EPA, publish in peer-reviewed ... Any data generated pursuant to this cooperative agreement, if awarded, will be provided to EPA. ... will be identified and incorporated into the monitoring program while not comprising overall study objectives and data quality. ...
... of an intricate meta-analysis it was possible to compare the transcriptomes of polyphenol exposure to recently published data ... of an intricate meta-analysis it was possible to compare the transcriptomes of polyphenol exposure to recently published data ... Data Interpretation and Statistical Analysis. Processing of global transcription expression values (DNA microarray). Pre- ... a web-based tool for microarray data analysis and interpretation. Nucleic Acids Res. 36, W308-W314. ...
Results of search for su:{Data interpretation, Statistical.} Refine your search. *Availability * Limit to currently available ... Statistical analysis of epidemiologic data / Steve Selvin.. by Selvin, Steve Material type: Book; Format: print Publisher: New ... Statistical operations : analysis of health research data / Robert P. Hirsch, Richard K. Riegelman.. by Hirsch, Robert P , ... Think before measuring : methodological innovations for the collection and analysis of statistical data / Jean-Luc Dubois.. by ...
In fact, a statistical interpretation can be assigned to the comparison of the model outcomes on one hand, and the measurements ... data and model with known uncertainty (. in statistical sense. ) can lead to (statistically) optimal estimate for the systems ... and data. . When dealing with dynamic and spatially distributed models the temporal and spatial (statistical) properties must ... Statistical interpretation. Although calibration is often formulated and carried out in a deterministic sense, a close relation ...
Using Large Scale Genomic Databases to Improve Disease Variant Interpretation 30:19. Microsoft Research ... Statistical analyses of multidomain data for the microbiome. * Nov 06, 2017 at 8:38AM. ... Three Principles of Data Science: Predictability, Stability, and Computability 51:05. Microsoft Research ...
Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation ... The Elements of Statistical Learning -- Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, Jerome ... and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical ... Cluster analysis is the automated search for groups of related observations in a data set. Most clustering done in practice is ...
Reqs MS + 2 yrs w/med device design / dvlpmt / qlty engrg; statistical data analysis; data interpretation; 21 CFR 820; ISO ... Clinical Data Specialist (Anaheim, CA) Manage clinical database management system relating to biomedical data. Bachelors ... 101, Anaheim, CA 92801 Accounting Clerk: Compute and record numerical data into ledger. Reqd: 3 months. Exp. as an Accounting ... enhancing the global data warehouse; design & develop software solutions. BS in computer science, info. system, engineering or ...
Stata: Data Analysis and Statistical Software Notice: On April 23, 2014, Statalist moved from an email list to a forum, based ... Re: st: GLS interpretation. From. Maarten Buis ,[email protected],. To. [email protected] Subject. Re: st: ... GLS interpretation. Date. Thu, 15 Sep 2011 18:04:34 +0200. On Thu, Sep 15, 2011 at 3:15 PM, bucur sorana wrote: , Can you ... Re: st: GLS interpretation *From: bucur sorana ,[email protected], ...
Stata: Data Analysis and Statistical Software Notice: On April 23, 2014, Statalist moved from an email list to a forum, based ... Re: st: Logistic regression interpretation. From. Dr. Bill Westman ,[email protected],. To. [email protected] ... Re: st: Logistic regression interpretation. Date. Tue, 21 Sep 2010 15:11:39 -0700. I apologize for the math error (7 times ... Re: st: Logistic regression interpretation *From: Maarten buis ,[email protected], ...
Background Limited valid data are available regarding the association of fructose-induced symptoms, fructose malabsorption, and ... J.H.-study concept and design; study supervision; statistical analysis; interpretation of data; drafting of the manuscript; ... Data and Statistical Analysis. Breath tests were interpreted by an experienced pediatric gastroenterologist blinded to subjects ... to obtain data on the time course of specific abdominal symptoms during and after fructose breath hydrogen test. ...
... and analysis of data; statistical expertise; and data interpretation; drafting, critical revision, and final approval of the ... Statistical analysis. We prespecified all analyses on an intention to treat basis. Data were double entered, and we used SPSS ... PF was responsible for study design; obtaining funding; logistic support; recruitment of participants; data interpretation; and ... and interpretation of data; and drafting, critical revision, and final approval of the article. CB was responsible for ...
In this article, we offer an approach, built on the technique of statistical simulation, to extract the currently overlooked ... Social scientists rarely take full advantage of the information available in their statistical results. As a consequence, they ... information from any statistical method and to interpret and present it in a reader-friendly manner. Using this technique ... A Statistical model for Multiparty Electoral Data, - KATZ, KING - 1999 (Show Context) Citation Context ...
The interpretation of statistical maps. Journal of the Royal Statistical Society: Series B (Methodological) 1948;10(2):243-51. ... 2013-2017 American Community Survey 5-year data profile. https://www.census.gov/acs/www/data/data-tables-and-tools/data- ... Data Sources and Map Logistics. These data came from 3 different sources and excluded deaths attributable to self-harm or war- ... Within each data set, we then aggregated data to the state level in the contiguous United States to eliminate suppression of ...
... presentation and interpretation of data. Note: ISO Council, by Council Resolution 12 / 1959 and Council Resolution 26 / 1961 ... Standardization in the application of statistical methods, including generation, collection (planning and design), analysis, ... presentation and interpretation of data. Note: ISO Council, by Council Resolution 12 / 1959 and Council Resolution 26 / 1961 ... Applications of statistical methods in product and process management. Sub committee. ISO/TC 69/SC 5. Acceptance sampling. Sub ...
Make research projects and school reports about Statistical Analysis easy with credible articles from our FREE, online ... and pictures about Statistical Analysis at Encyclopedia.com. ... Data Collection and Interpretation; Graphs; Mass Media, ... Statistical Analysis Mathematics COPYRIGHT 2002 The Gale Group Inc.. Statistical Analysis. You may have heard the saying "You ... What Is Statistical Analysis?. Statistical analysis uses inductive reasoning and the mathematical principles of probability to ...
CJP, study concept and design; data acquisition; data analysis and interpretation; statistical analysis; manuscript drafting; ... Author contributions: SS, study concept and design; data acquisition; data analysis and interpretation; general study ... By leveraging on publicly available OMICs data, we were able to show that shared loci are not necessarily affected by reverse ...
statistical) analysis and interpretation of data; T.Ho., J.Pe., M.H.H. and R.S.S. drafting the manuscript. All authors were ... T.Ho., J.Pe., D.P.K. and R.S.S. the conception and design of the study; T.Ho, Y.Ol, IAMdR acquisition of data; T.Ho., J.Pe., M. ... Overall, these data show that a hematopoietic Npc1 mutation induces lysosomal accumulation of lipids inside liver macrophages ... 2G). Together, these data demonstrate that a hematopoietic Npc1 mutation in Ldlr−/− mice increases microbial richness and ...
Statistical learning theory. Wiley. ISBN 9780471030034. Wahba, Grace (1990). Spline models for observational data. SIAM. ... These beliefs are updated after taking into account observational data by means of a likelihood function that relates the prior ... For a test input vector x ′ {\displaystyle \mathbf {x} } , given the training data S = { X , Y } {\displaystyle S=\{\mathbf {X ... Regularized least squares Bayesian linear regression Bayesian interpretation of Tikhonov regularization Álvarez, Mauricio A.; ...
2.5 Statistical understanding ; 2.6 Inference, causality, and interpretation ; 2.7 Finding and appraising evidence ; 2.8 ... Part 2. Data and information. 2.1 Understanding data, information, and knowledge ; 2.2 Information technology and informatics ... 2.5 Statistical understanding ; 2.6 Inference, causality, and interpretation ; 2.7 Finding and appraising evidence ; 2.8 ... Data and information. 2.1 Understanding data, information, and knowledge ; 2.2 Information technology and informatics ; 2.3 ...
Data Interpretation, Statistical * Drug Industry * Equipment and Supplies* * Industry* * Publication Bias * Research Report / ... Two assessors extracted data, and we contacted authors of included papers for additional unpublished data. Outcomes included ... Data collection and analysis: Two assessors identified potentially relevant papers, and a decision about final inclusion was ... Ten papers reported on sponsorship and effect size, but could not be pooled due to differences in their reporting of data. The ...
Data Interpretation, Statistical * Female * Humans * Life Tables * Neoplasm Staging * Odds Ratio * Patient Acceptance of Health ... We classified studies for analysis by type of data in the original reports: category I studies had actual 5-year survival data ... Interpretation: Delays of 3-6 months are associated with lower survival. These effects cannot be accounted for by lead-time ... Methods: We identified 87 studies (101,954 patients) with direct data linking delay (including delay by patients) and survival ...
Statistical Approaches to Interpretation of Local, Regional, and National Highway-Runoff and Urban-Stormwater Data. Decision ... Statistical Approaches to Interpretation of Local, Regional, and National Highway-Runoff and Urban-Stormwater Data; 2000; OFR; ... facilitate interpretation and integration of spatial data. The geographic information and data compiled for the conterminous ... Spatial data are important for interpretation of water-quality information on a regional or national scale. Geographic ...
Acquisition of data. Kelley, Alarcón.. Analysis and interpretation of data. Kelley, Johnson, Alarcón, Kimberly, Edberg. ... Statistical analysis. Kelley, Edberg.. Acknowledgements. We would like to thank Jan Dumanski for critical review of the ... Kelley had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy ... Analysis of relative gene expression data using real-time quantitative PCR and the 2. method. Methods 2001; 25: 402-8.. * ...
Multivariate statistical methods (cluster analysis and principal components analysis) were used to assess the data collection. ... 18] D. L. Massart and L. Kaufman: The interpretation of analytical chemical data by the use of cluster analysis, J. Wiley & ... 4] D. A. Leon and J. McCambridge: "Liver cirrhosis mortality rates in Britain from 1950 to 2002: an analysis of routine data", ... An attempt is made to assess a set of biochemical, kinetic and anthropometric data for patients suffering from alcohol abuse ( ...
... and Interpretation of Genome-Wide Association Scans - Author: Stram, Daniel O. - Price: 114,40€ ... Statistical Modelling of Survival Data with Random Effects. Ha, Il Do. 138,35€ ... Design, Analysis, and Interpretation of Genome-Wide Association Scans. 114,40€. Add to cart. Ebook, PDF with Adobe DRM. ISBN: ... Keywords: Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Human Genetics, Statistical Theory and Methods ...
  • Bootstrapping: a nonparametric approach to statistical inference. (psu.edu)
  • Tools for Statistical Inference, Methods for the Exploration of Posterior Distributions and Likelihood Functions. (psu.edu)
  • Unzfiing Political Methodology: The Likelihood Theory of Statistical Inference. (psu.edu)
  • Statistical inference makes it possible for us to state, given a sample size (100) and a population size (10,000), how often false hypotheses will be accepted and how often true hypotheses are rejected. (encyclopedia.com)
  • This course helps students to develop a deeper understanding of the strengths and limitations of different approaches to inference and to appreciate some of the ongoing arguments among the adherents of the different philosophies regarding statistical inference. (bc.edu)
  • sampling problems basic to statistical inference. (nyu.edu)
  • The Revised National Alzheimer's Coordinating Center's Neuropathology Form-Available Data and New Analyses. (rush.edu)
  • The evaluation of potential biases introduced at this step is challenging for metatranscriptomic samples, where data analyses are complex, for example because of the lack of reference genomes. (biomedcentral.com)
  • The Biostatistics Group assists researchers with all sizes and types of projects, from simple data analyses to large, multi-center clinical trials. (ucdavis.edu)
  • Aspirants who want to become Business Data Visualization analysts /experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports. (sas.com)
  • Hand in of analyses done in SPSS, plus interpretation of results. (uib.no)
  • The Master of Science in Applied Statistics and Psychometrics meets the need for quantitative specialists to conduct statistical analyses, design quantitative research studies, and develop measurement scales for educational, social, behavioral, and health science research projects. (bc.edu)
  • ASQ/ANSI/ISO 16269-4:2010 provides detailed descriptions of sound statistical testing procedures and graphical data analysis methods for detecting outliers in data obtained from measurement processes. (asq.org)
  • Wang D, Karvonen-Gutierrez CA, Jackson EA, Elliott MR, Appelhans BM, Barinas-Mitchell E, Bielak LF, Huang MH, Baylin A. Western Dietary Pattern Derived by Multiple Statistical Methods Is Prospectively Associated with Subclinical Carotid Atherosclerosis in Midlife Women. (rush.edu)
  • Standardization in the application of statistical methods, including generation, collection (planning and design), analysis, presentation and interpretation of data. (iso.org)
  • ISO Council, by Council Resolution 12 / 1959 and Council Resolution 26 / 1961 has entrusted ISO / TC 69 with the function of advisor to all ISO technical committees in matters concerning the application of statistical methods in standardization. (iso.org)
  • To this end, the transportation community can adopt, adapt, and participate in the development and application of standard methods for data-collection, -processing, and -distribution. (usgs.gov)
  • Multivariate statistical methods (cluster analysis and principal components analysis) were used to assess the data collection. (edu.pl)
  • Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log-linear methods, models, and applications. (wiley.com)
  • He has published twenty books and over 350 journal articles on statistical methods, categorical data analysis, and human development. (wiley.com)
  • cDNA and library preparation methods may affect the outcome and interpretation of metatranscriptomic data. (biomedcentral.com)
  • He is co-author of Statistical Methods for Reliability Data (Wiley, 1998) and of numerous publications in the engineering and statistical literature and has won many awards for his research. (wiley.com)
  • STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. (booktopia.com.au)
  • This course builds on ESE 301 (Engineering Probability), and introduces students to the basic methods of statistical estimation, hypothesis testing, and regression. (upenn.edu)
  • Formal statistical methods for engineering applications. (upenn.edu)
  • Methods for formulating problems in statistical terms. (upenn.edu)
  • This is a continuation of Introduction to Methodology, focussing on planning quantitative research, and the methods of analysis of quantitative data. (uib.no)
  • Field Research Methods provides students majoring in a BSc - Geography or BAppSc - Environmental Management, the opportunity to learn and practise skills for collecting, analysing and interpreting geographic data. (otago.ac.nz)
  • Rogerson, P.A. (2020) Statistical Methods for Geography - A Student's Guide. (otago.ac.nz)
  • The resultant data are then subjected to multi-step downstream processes, including (4) Statistical data analysis approaches such as principal component analysis (PCA) and (5) Data interpretation using methods such as pathway analysis, which facilitate (6) The generation of testable hypotheses and the construction of models that best represent the biological phenomenon (the second half of the cycle in Figure 1 ). (frontiersin.org)
  • 1) Data collection - Data is often collected from what we call samples (the subjects for a statistical study) and samples are selected properly through what we call sampling methods. (teach-nology.com)
  • With the exception of sodium, this validation study demonstrates Meal-Q and MiniMeal-Q to be useful methods for ranking micronutrient and fiber intake in epidemiological studies with Web-based data collection. (jmir.org)
  • In the 1990s she started (together with her team) so called grade data analysis, a science of applying copula and rank methods to problems of correspondence and cluster analysis together with outlier detection. (wikipedia.org)
  • Classic methods fail if the input data contain strong outliers, and interpretation of their results should be different for different distribution types. (wikipedia.org)
  • Grade Models and Methods for Data Analysis with Applications for the Analysis of Data Populations. (wikipedia.org)
  • Grade exploratory methods applied to some medical data sets. (wikipedia.org)
  • The resultant data go through multi-step downstream processes including (4) statistical data analysis such as principal component analysis, (5) data interpretation such as pathway analysis, (6) generation of testable hypothesis and construction of the model representing the biological phenomenon, and (7) experimental validation of hypothesis and building models. (frontiersin.org)
  • Flagship's pathologist-driven image analysis generates unique cellular data profiles that allow for flexible yet robust quantitative solutions. (flagshipbio.com)
  • By contrast, even if most studies validate the transcript abundance inferred by sequencing data using quantitative real-time reverse transcription PCR (qRT-PCR) to check for artefacts in cDNA amplification [ 1 - 4 ], the bias introduced at this step remains poorly explored. (biomedcentral.com)
  • The quantitative psychology master's program aims to prepare students for applied and research careers as statisticians, psychometricians, data analysts, and quantitative psychologists in education, business, government, and other organizations. (mtsu.edu)
  • Graduates holding a master's degree in quantitative psychology may analyze empirical data obtained from scientific research and/or conduct scientific research on psychometrics or statistical phenomena. (mtsu.edu)
  • Each team is expected to formulate a problem of interest, gather relevant data pertaining to the problem, and analyze this data using multiple regression techniques. (upenn.edu)
  • For researchers seeking more extensive services, please look at our Analytical Services such as fee-for-service projects or collaborative research opportunities with faculty and/or graduate students in the Department of Statistical and Actuarial Sciences. (uwo.ca)
  • Improve critical and analytical thinking via the application of core principles to news stories or other economic data in writing and presentations. (sfu.ca)
  • The laboratory sessions focus on developing statistical and analytical techniques for geographical based problems. (otago.ac.nz)
  • JOB DESCRIPTION : Utilize their analytical, statistical , and programming skills to collect, analyze, and interpret large data sets. (freelancer.com)
  • We calculated pooled risk ratios (RR) for dichotomous data (with 95% confidence intervals). (nih.gov)
  • This course teaches how to explore data, build reports & queries using SAS Visual Analytics. (sas.com)
  • He has conducted mentoring workshops in the area of Business Forecasting, Predictive Modeling, Big Data Analytics, Operations Research & Design of Experiments with leading corporations in the area of banking, retail, manufacturing & agriculture. (sas.com)
  • He is responsible for building the analytics group at the small, rapidly growing biotech company in Marietta, Ga. The coursework, faculty, and student interactions at MTSU provided a strong foundation that enabled Tucker to have many early career successes in the healthcare field, particularly in using data for complex decision-making, he says. (mtsu.edu)
  • The intelligent data analysis on the clinical parameter dataset has shown that when a complex system is considered as a multivariate one, the information about the system substantially increases. (edu.pl)
  • If you have any questions regarding other Introductory Statistics courses not listed here, please contact the Department of Statistical & Actuarial Sciences. (uwo.ca)
  • The existing statistical tests for testing equality of predictive values are either Wald tests based on the multinomial distribution or the empirical Wald and generalized score tests within the generalized estimating equations (GEE) framework. (nih.gov)
  • To alleviate this, we introduce a weighted generalized score (WGS) test statistic that incorporates empirical covariance matrix with newly proposed weights. (nih.gov)
  • It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work. (wiley.com)
  • Expertise is available to assist in the development of protocols, statistical plans, data safety monitoring plans, data analysis, and contribute to the statistical sections of grant applications, abstracts, and manuscripts. (ucdavis.edu)
  • Review and analysis of the metadata collected for the National Highway Runoff Data and Methodology Synthesis indicates that much of the available data is not suf?ciently documented for inclusion in a technically defensible regional or national data set. (usgs.gov)
  • Planning for appropriate sampling and study designs and the choice of appropriate statistical methodology (e.g. (uwo.ca)
  • Consistent with the APA training model, students take courses in each of the core domains of psychology: biological, cognitive/affective, and social aspects of behavior, history and systems of psychology, psychological measurement, research methodology, and techniques of data analysis. (bc.edu)
  • Federally funded and nonprofit agencies have set rigorous expectations in research methodology and data analysis for the studies they fund. (bc.edu)
  • Assessment using SCROM methodology and Psychometric analysis for statistical results. (freelancer.com)
  • Due to the scope of the project, comprising the range of topics addressed, the diversity of data and sources employed, and the many types of conclusions and comments advanced, The Skeptical Environmentalist does not fit easily into a particular scientific discipline or methodology. (wikipedia.org)
  • Think before measuring : methodological innovations for the collection and analysis of statistical data / Jean-Luc Dubois. (who.int)
  • In addition to People Statistical Notes that evaluate methodological the substantial decrease in fertility during this period, all issues pertaining to summary measures. (cdc.gov)
  • Zhou, Guangquan 05 Fast Electronics Laboratory Director: Professor Wang, Yanfang The laboratory mainly focuses on high-speed data acquisition and real-time signal processing. (caltech.edu)
  • Students will gain laboratory experience in administration, scoring, and interpretation of psychological tests. (bc.edu)
  • This content will then be supported by your laboratory session, where you will work through a real case study and apply the critical and interpretative skills necessary to interpret geographical data sets. (otago.ac.nz)
  • Statistical operations : analysis of health research data / Robert P. Hirsch, Richard K. Riegelman. (who.int)
  • Spatial distribution of unadjusted death rate per 100,000 population of deaths from gun violence across the contiguous United States, by state, in 2017 in 2 data sets: the Centers for Disease Control and Prevention (CDC) Wide-ranging OnLine Data for Epidemiologic Research (WONDER) database (1) (panel 1a) and the Gun Violence Archive (GVA) (2) (panel 1b). (cdc.gov)
  • Cluster maps of the spatial dependency of gun violence mortality rates across the contiguous United States, by state, in 2017 in 2 data sets: the Centers for Disease Control and Prevention (CDC) Wide-ranging OnLine Data for Epidemiologic Research (WONDER) database (1) (panel 2a) and the Gun Violence Archive (GVA) (2) (panel 2b). (cdc.gov)
  • The most commonly used source for research on gun-related deaths is the Centers for Disease Control and Prevention (CDC) Wide-ranging OnLine Data for Epidemiologic Research (WONDER) database, which compiles data from death certificates (1). (cdc.gov)
  • For comparison, we used the GVA, an independent data collection and research group that collects data on gun violence deaths and injuries from law enforcement, media, and commercial sources with the goal of providing near real-time gun violence data (2). (cdc.gov)
  • Results of the metadata-review process indicate that few reports document enough of the information and data necessary to establish the quality or representativeness of research results. (usgs.gov)
  • It is necessary to establish systematic data-quality objectives, an integrated quality system, and standard protocols for sample collection, processing, analysis, documentation, and publication to ensure that resources expended to meet environmental research needs are used ef?ciently and effectively. (usgs.gov)
  • Integration of Federal, State, and local regulatory, data-collection, and research programs within a system to facilitate information transfer will provide an economy of scale by making research results available to the entire research community. (usgs.gov)
  • Her research focuses on extending generalized latent variable modeling to the study of clustered, repeated measures longitudinal data. (wiley.com)
  • As attached to the China Center of IUE Satellite Data, the Center seeks to promote significant advances and research in these fields. (caltech.edu)
  • I want to study this subject - how should I conduct the study and conduct my statistical analysis to address my research question? (uwo.ca)
  • Conducting the statistical analysis for a research project. (uwo.ca)
  • The R software ecosystem is currently the most widely used platform for advanced, data-analytic research across all disciplines. (warwick.ac.uk)
  • To give participants an opportunity to introduce, discuss with fellow participants and experts, and solve, specific data-analytic issues arising in their own research. (warwick.ac.uk)
  • Reproducibility is a key challenge for data-intensive research, and this course will provide useful tools and techniques to help ensure that research results are robust and replicable by others. (warwick.ac.uk)
  • This course provides fundamental tools and understanding for data-based research. (warwick.ac.uk)
  • Skills in data analysis, and especially in R , are highly marketable outside academia (for example in business and government, all the way to journalism) as well as in academic research. (warwick.ac.uk)
  • The aim of the Centre for Statistical Consultation is to assist researchers and postgraduate students of the university with statistical aspects of their research. (sun.ac.za)
  • The AUA understands that statistical analysis is a key component of health care research, which is why it offers comprehensive professional data analysis to urologists and urology practices, other researchers and government and industry groups. (auanet.org)
  • To promote replicable research practices, the policy of the Psychonomic Society is to publish papers in which authors follow standards for disclosing all important aspects of the research design and data analysis. (springer.com)
  • He has stated that he began his research as an attempt to counter what he saw as anti-ecological arguments by Julian Lincoln Simon in an article in Wired, but changed his mind after starting to analyze data. (wikipedia.org)
  • You may have heard the saying "You can prove anything with statistics," which implies that statistical analysis cannot to be trusted, that the conclusions that can be drawn from it are so vague and ambiguous that they are meaningless. (encyclopedia.com)
  • Only two papers (including 120 device studies) reported separate data for devices and we did not find a difference between drug and device studies on the association between sponsorship and conclusions (test for interaction, P = 0.23). (nih.gov)
  • 1. Drawing Statistical Conclusions. (booktopia.com.au)
  • Data interpretation depends on the type of conclusions sought. (teach-nology.com)
  • Inferential statistics concerns itself with deriving conclusions beyond the given data. (teach-nology.com)
  • Inferential statistics is used, given the data from the sample, to make conclusions about the general population where the sample comes from. (teach-nology.com)
  • Furthermore, there should be extra sensitivity in selecting respondents and organizing survey results so that the conclusions derived from statistical analysis will be as impartial as possible. (teach-nology.com)
  • However, The Skeptical Environmentalist is methodologically eclectic and cross-disciplinary, combining interpretation of data with assessments of the media and human behavior, evaluations of scientific theories, and other approaches, to arrive at its various conclusions. (wikipedia.org)
  • Visual versus Verbal Working Memory in Statistically Determined Patients with Mild Cognitive Impairment: On behalf of the Consortium for Clinical and Epidemiological Neuropsychological Data Analysis (CENDA). (rush.edu)
  • Heo M, Kim N, Rinke ML, Wylie-Rosett J. Sample size determinations for stepped-wedge clinical trials from a three-level data hierarchy perspective. (rush.edu)
  • Limited valid data are available regarding the association of fructose-induced symptoms, fructose malabsorption, and clinical symptoms. (springer.com)
  • The main goal is to identify the data set structure, finding groups of similarity among the clinical parameters or among the patients. (edu.pl)
  • Some recent data projects include evaluating and analyzing the geographic distribution of physicians, determinants of hospital charges, AUA Annual Meeting attendance, member satisfaction surveys, membership trends and clinical studies on conditions such as overactive bladder (OAB), BPH, and hypogonadism. (auanet.org)
  • There were no statistical differences between the hypoperfusion group and normal group based on the patient's clinical characteristics (P>0.05). (medscimonit.com)
  • Statistical interpretation of data and using data for clinical decisions. (medlineplus.gov)
  • Despite these observational data, no large controlled clinical trials have been conducted to evaluate the relationship between the age of stored RBCs and clinical outcomes. (pnas.org)
  • Applicants are expected to interpret data through statistical analysis and report findings to EPA, publish in peer-reviewed venues and contribute to annual GLCWMP technical reports. (epa.gov)
  • For an extensive discussion of the statistical analysis of biological data, the reader may refer to a multitude of books and articles. (springer.com)
  • Applicants are expected to manage data generated through sample collection and submit to EPA. (epa.gov)
  • I believe that this meeting is an important step for forest data collection in the Pacific. (fao.org)
  • I note from the agenda that there will be presentations from the countries on the status and level of their data collection and papers on specific topics presented by the different resource persons. (fao.org)
  • I believe this workshop is important to the overall management of the region s forests, is timely, and will go far in addressing the region s data collection problems. (fao.org)
  • Many think that data collection is as simple as asking the respondents a few questions about a survey. (teach-nology.com)
  • and interpreting runoff data using appropriate statistical techniques. (usgs.gov)
  • The introduced concepts have potential to lead to development of the WGS test statistic in a general GEE setting. (nih.gov)
  • Presentation of short courses with the aim of introducing statistical concepts to researchers. (sun.ac.za)
  • Students will apply concepts of error analysis and use computer software for interpretation of experimental data. (unm.edu)
  • Includes measurement concepts essential to test interpretation, and experience in evaluating strengths, weaknesses, and biases of various testing instruments. (bc.edu)
  • 1978. Exploratory analysis of disease prevalence data from survival/sacrifice experiments. (springer.com)
  • Statistical simulation uses the logic of survey sampling to approximate complicated mathematical calculations. (psu.edu)
  • Statistical analysis uses inductive reasoning and the mathematical principles of probability to assess the reliability of a particular experimental test. (encyclopedia.com)
  • Mathematical techniques have been devised to allow measurement of the reliability (or fallibility) of the estimate to be determined from the data (the sample, or "N") without reference to the original population. (encyclopedia.com)
  • Over the past decades, a number of databases involving information related to mass spectra, compound names and structures, statistical/mathematical models and metabolic pathways, and metabolite profile data have been developed. (frontiersin.org)
  • thus dichotomous data involves the construction of classifications as well as the classification of items. (wikipedia.org)
  • Statistical analysis can be reliable and the results of statistical analysis can be trusted if the proper conditions are established. (encyclopedia.com)
  • he or she is concerned about the results of statistical analysis. (teach-nology.com)
  • I have some data here that need to be done via spss . (freelancer.com)
  • I have learned not only the mathematics and conceptual ideas behind a number of advanced statistical techniques but I have also gained experience with writing syntax in the statistical programs, SAS, SPSS, and R," Freund says. (mtsu.edu)
  • The Centre is staffed by two senior statisticians with a long history of client-driven practical experience, who keep themselves up to date with the latest statistical developments, data mining and other statistical software in order to provide an effective consultation service to researchers. (sun.ac.za)
  • The focus is also on practice in oral presentations, discussion and written interpretations of primary literature. (bowdoin.edu)
  • That is far from actual statistical practice. (teach-nology.com)
  • Our tissue data approach incorporates image analysis, machine learning, statistical analysis, and pathologist oversight. (flagshipbio.com)
  • Topics included in this Field Guide are basic probability theory, random processes, random fields, and random data analysis. (spie.org)
  • I would like to emphasize that FAO sees the conduct of this exercise as a partnership, where forest data from the countries are reviewed, checked for accuracy and completeness, and verified. (fao.org)
  • Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals. (wiley.com)
  • This intensive course will bring together early-career researchers (including PhD students) from across Warwick who wish to learn about key principles of modern Data Science, and details of their application in R . (warwick.ac.uk)
  • Parametric statistical tests are derived from distribution assumptions. (wikipedia.org)
  • For the reasons mentioned above, Elżbieta Pleszczyńska is a strong advocate of explorative data analysis and non-parametric statistics, like Spearman's rho, Kendall's tau, or grade data analysis. (wikipedia.org)
  • Statistical analysis of epidemiologic data / Steve Selvin. (who.int)
  • This statistic is simple to compute, always reduces to the score statistic in the independent samples situation, and preserves type I error better than the other statistics as demonstrated by simulations. (nih.gov)
  • 5. Compute the data for the missing periods k = n+1, n+2. (fao.org)
  • Application of techniques for data model integration (DMI) are increasingly used in many fields of science, finance, economics, etc. (marinespecies.org)
  • Most mail surveys, mall surveys, political telephone polls, and other similar data gathering techniques generally do not meet the proper conditions for a random, unbiased sample, so their results cannot to be trusted. (encyclopedia.com)
  • The Data Analysis Boot Camp equips candidates with the knowledge, techniques and models to transform data into usable insights for making business decisions. (eventbrite.com)
  • These tools include graphic presentation techniques and simplified models to transform the results of data analysis into digestible, easy-to-understand insights and usable recommendations. (eventbrite.com)
  • This includes data mining skills, advanced modelling techniques, business visualizations which conveys information in a universal manner and make it simple to share ideas with others. (sas.com)
  • All students travel to a South Island location to work on a series of projects offering hands-on experience in designing sampling regimes, collecting field data, using field instruments and techniques and working as a team with fellow class members and departmental staff. (otago.ac.nz)
  • Thus, we believe that the proposed WGS statistic is the preferred statistic for testing equality of two predictive values and for corresponding sample size computations. (nih.gov)
  • Covers a range of statistical topics. (sas.com)
  • And finally, they wanted to generate more sophisticated interpretations of DNA STR profiles (the characterizations found in CODIS) than are commonly used. (ojp.gov)
  • They also investigated the mathematics of commonly used statistical calculations and the effects of further complications, such as the presence of family members in DNA sample mixtures. (ojp.gov)
  • Although CDC WONDER is the most commonly used source for data on gun violence, concerns have been voiced around the validity of cause-of-death reporting on death certificates (5,6). (cdc.gov)
  • As is clearly seen with a new re-formulation we presented, the generalized score statistic does not always reduce to the commonly used score statistic in the independent samples case. (nih.gov)
  • The discussion focuses on the statistical interpretation of data rather than on the statistical procedures used in the data analysis. (springer.com)
  • The current study focuses on CVD risk factors using nationally representative data to determine prevalence of biological CVD risk factors (prehypertension/hypertension, borderline-high/high LDL-C, low HDL-C, and prediabetes/diabetes) by weight status (normal weight, overweight, obese) and their trends among US adolescents aged 12 to 19 years. (aappublications.org)
  • Remember that most statistical studies use samples instead of entire populations. (teach-nology.com)
  • Many of the topics discussed in this chapter pertain to experimental data in general, but the context of their use and examples given are in the field of toxicology. (springer.com)
  • Every day examples are improvement of geophysical model descriptions (flows, water levels, waves), improvements and optimization of daily weather forecasts, detection of errors in data series, on-line identification of stolen credit card use, detection of malfunctioning components in manufacturing processes. (marinespecies.org)
  • With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. (booktopia.com.au)
  • This graph shows the total number of publications written about "Data Interpretation, Statistical" by people in Harvard Catalyst Profiles by year, and whether "Data Interpretation, Statistical" was a major or minor topic of these publication. (harvard.edu)
  • Below are the most recent publications written about "Data Interpretation, Statistical" by people in Profiles. (harvard.edu)
  • In 'The American Statistician' (February 2000, Vol. 54, No. 1), George Cobb commented, 'What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution,' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns. (booktopia.com.au)
  • Even when data volumes are very large, patterns can be spotted quickly and easily. (sas.com)
  • The emphasis is on practical applications of these tools, including the analysis of a variety of real-world data sets using standard statistical software. (upenn.edu)
  • Practical analysis and interpretation of engineering data. (upenn.edu)
  • Data Interpretation, Statistical" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings) . (harvard.edu)
  • Procedure-specific acute pain trajectory after elective total hip arthroplasty: systematic review and data synthesis. (harvard.edu)
  • Application of statistical procedures to analyze specific observed or assumed facts from a particular study. (harvard.edu)
  • Applicants must specify in their application the process by which additional coastal wetland sites/studies will be identified and incorporated into the monitoring program while not comprising overall study objectives and data quality. (epa.gov)
  • Throughout the book, real-world data illustrate the application of models and understanding of the related results. (wiley.com)
  • Addresses the construction, interpretation, and application of linear statistical models. (bc.edu)
  • Through this project, we analyzed spatial similarities in 2017 between the CDC WONDER and GVA data sets for the contiguous United States. (cdc.gov)
  • Emphasis will be placed on the interpretation of the results. (sas.com)
  • An assessment of the quality of data on age at first union, first birth, and first sexual intercourse for phase II of the Demographic and Health Surveys program / Anastasia J. Gage. (who.int)
  • With appropriate data and information, proper assessment can be made of the status of the different forest resources, and more importantly, enable right management decisions and practices to be made and applied. (fao.org)
  • She used real-world national data during her Discovery Education Assessment internship. (mtsu.edu)
  • This book 'Dipmeter Surveys in Petroleum Exploration' giving all the required backup of the other allied subjects for easy and meaningful interpretations of the Dipmeter data, so that drilling of dry wells is avoided to maximum possible extent and new discoveries to be made, thereby enhancing the oil resource of a particular geographical location. (routledge.com)
  • Data were derived from 1351 subjects, aged 18-69 years and enrolled in the ORISCAV-LUX study. (mdpi.com)
  • ISO/TR 14468:2010 assesses a measurement process where the characteristic(s) being measured is (are) in the form of attribute data (including nominal and ordinal data). (asq.org)
  • The nominal level is the lowest measurement level used from a statistical point of view. (wikipedia.org)
  • Work with Flagship's image analysis experts to develop a unique solution for your project and data requirements. (flagshipbio.com)
  • The fact that a program's data may not meet criteria for regional or national synthesis, however, does not mean that the data are not useful for meeting that program's objectives or that they could not be used for water-quality studies with objectives different from those required for a national synthesis. (usgs.gov)