Data Interpretation, Statistical
Reproducibility of Results
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.
Software
Oligonucleotide Array Sequence Analysis
Algorithms
Computer Simulation
Gene Expression Profiling
Computational Biology
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.
Sequence Analysis, DNA
Polymerase Chain Reaction
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.
Sensitivity and Specificity
Observer Variation
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).
Image Interpretation, Computer-Assisted
Radiology
Models, Biological
Maps as Topic
Confidence Intervals
Developmental Disabilities
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)
Models, Statistical
Toxaphene
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)
Wetlands
Lakes
Psychology, Applied
Orthodontic Appliance Design
Decision Making
Research
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)
Climatic Processes
Hydrology
Cyclonic Storms
Uncertainty
Models, Theoretical
Tidal Volume
Statistics as Topic
Models, Genetic
Survival Rate
Breast
Treatment Outcome
Retrospective Studies
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.
Survival Analysis
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.
Cell Survival
Lupus Erythematosus, Systemic
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.
DNA Copy Number Variations
Polymorphism, Single Nucleotide
Gene Dosage
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.
Lupus Nephritis
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).
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)
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Some benefits of dichotomization in psychiatric and criminological research - PDF
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Multiple Imputation: 5 Recent Findings that Change How to Use It
Meeting the challenge of the Psychonomic Societys 2012 Guidelines on Statistical Issues: Some success and some room for...
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Statistical Procedures
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Statistical analysis plan (SAP)
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Nonparametric lack-of-fit tests in presence of heteroscedastic variances
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Statistical Methodology
The Skeptical Environmentalist
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 ...
List of important publications in computer science
... 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 ...
Quantitative marketing research
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 ...
Level of measurement
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 ...
Level of measurement
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 ...
Lists of mathematics topics
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. ...
HD 187085 b
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 ...
Laboratory quality control
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 ...
Tolerance interval
"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 ...
Dirichlet average
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 ...
Foundations of statistics
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 ...
Linear trend estimation
... 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 ...
Branches of science
... 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 ...
Computational immunology
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 ...
Mind projection fallacy
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 ...
Peter Rousseeuw
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 ...
Misuse of statistics
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 ...
Measurement invariance
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. ...
List of fields of application of statistics
... 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 ...
Public policy
... 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 ...
Spray characteristics
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 ...
Protocol (science)
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, ...
Hilda Weiss
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 ...
Verbal autopsy
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 ...
Ancient DNA
... 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. " ...
Historical revisionism
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 ...
Likelihood-ratio test
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 ...
Statistics
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 ...
Election forensics
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 ...
2000 United States Census
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 ...
Level of measurement
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 ...
Mann-Whitney U test
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 ...
Dowsing
... 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 ...
Brain tumor
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 ( ...
Refractive index
"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] ...
Observer effect (physics)
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 ...
Occupational health psychology
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] ...
Free will
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 ...
Economics
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 ...
Daniel Dennett
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 ...
Myers-Briggs Type Indicator
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 ...
Ole Rømer
"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 ...
Islamic calendar
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- ...
Robert Kates
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 ...
NOMINATE (scaling method)
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. ...
Chemistry
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: ...
List of atheists in science and technology
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 ...
Age of the universe
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 ...
Abortion in the United States
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. ...
Epistasis
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 ...
Indigenous Australians
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 ...
Romani people
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 ...
Hard disk drive
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 ...
Grounded theory
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 ...
Ras manusia bahasa Indonesia, ensiklopedia bebas
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 ...
Hebrew language
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 ...
B. R. Ambedkar
"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 ...
Sleep disorder
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 ...
Ashkenazi Jews
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. ...
Statistical Interpretation of Toxicity Data | SpringerLink
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 | ASQ
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 ...
Image Analysis, Tissue Image Analysis, Tissue Data Analytics, Cell-Based Tissue Analysis, Tissue Interpretations, Machine...
... 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 ...
Data interpretation and statistical significance | IMSEAR
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 ...
2020 RFA for Great Lakes Coastal Wetland Monitoring Program | Great Lakes Funding | US EPA
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. ...
Frontiers | Meta-Analysis of Global Transcriptomics Suggests that Conserved Genetic Pathways are Responsible for Quercetin and...
... 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. ...
WHO HQ Library catalog ›
Results of search for 'su:{Data interpretation, Statistical.}'
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 ...
Difference between revisions of "Reduction of uncertainties through Data Model Integration (DMI)" - MarineSpecies Introduced...
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 ...
Statistical analyses of multidomain data for the microbiome | Microsoft Research | Channel 9
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 ...
CiteSeerX - Search Results - Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote...
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 ...
May 3, 2018 - OC Weekly by Duncan McIntosh Company - Issuu
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 ...
Re: st: GLS interpretation
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], ...
Re: st: Logistic regression interpretation
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], ...
Relationship Between Abdominal Symptoms and Fructose Ingestion in Children with Chronic Abdominal Pain | SpringerLink
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. ...
Randomised, double blind, placebo controlled crossover trial of sustained release morphine for the management of refractory...
... 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 ...
CiteSeerX - Making the most of statistical analyses: Improving interpretation and presentation
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 ...
Exploring Spatial Differences Between 2 US Firearm Mortality Data Sets in 2017
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 ...
ISO - ISO/TC 69 - Applications of statistical methods
... 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 ...
Statistical Analysis facts, information, pictures | Encyclopedia.com articles about Statistical Analysis
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 ...
Shared Disease Mechanisms in NAFLD and Metabolic Syndrome
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 ...
Hematopoietic Npc1 mutation shifts gut microbiota composition in Ldlr −/− mice on a high-fat, high-cholesterol diet |...
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 ...
Bayesian interpretation of kernel regularization - Wikipedia
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.; ...
Oxford handbook of public health practice. (eBook, 2013) [WorldCat.org]
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 ...
Industry sponsorship and research outcome
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 ...
Influence of delay on survival in patients with breast cancer: a systematic review
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 ...
National Highway Runoff Water-Quality Data and Methodology Synthesis (NDAMS)
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 ...
Variation in the relative copy number of the TLR7 gene in patients with systemic lupus erythematosus and healthy control...
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.. * ...
Statistical interpretation of medical data of patients with alcohol abuse - Open Medicine - Volume 7, Issue 4 (2012) - PSJD -...
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 ( ...
Design, Analysis, and Interpretation of Genome-Wide Association Scans | Ebook | Ellibs Ebookstore
... 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 ...
InferenceAnalysesMethodsHypothesisQuantitativeRegressionAnalyticalConfidence intervalsAnalyticsMultivariateActuarial SciencesEmpiricalManuscriptsMethodologyMethodologicalLaboratoryResearchConclusionsClinicalInterpretBiological dataCollectionAppropriate statisticalConceptsExploratoryMathematicalDichotomous dataResults of statistical analysisSPSSCentrePracticeBayesianIncorporatesProbabilityConductResearchersParametricEpidemiologicComputeTechniquesPredictiveRange of statisticalCommonlyFocusesSamplesExamplesProfilesPatternsPracticalDescriptorSystematic reviewApplication2017EmphasisAssessmentSubjectsMeasurementDevelopSynthesis
Inference6
- 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)
Analyses6
- 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)
Methods24
- 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)
Hypothesis1
- 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)
Quantitative4
- 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)
Regression1
- 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)
Analytical4
- 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)
Confidence intervals1
- We calculated pooled risk ratios (RR) for dichotomous data (with 95% confidence intervals). (nih.gov)
Analytics3
- 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)
Multivariate1
- 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)
Actuarial Sciences1
- If you have any questions regarding other Introductory Statistics courses not listed here, please contact the Department of Statistical & Actuarial Sciences. (uwo.ca)
Empirical3
- 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)
Manuscripts1
- 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)
Methodology6
- 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)
Methodological2
- 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)
Laboratory3
- 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)
Research21
- 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)
Conclusions8
- 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)
Clinical8
- 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)
Interpret1
- 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)
Biological data1
- For an extensive discussion of the statistical analysis of biological data, the reader may refer to a multitude of books and articles. (springer.com)
Collection5
- 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)
Appropriate statistical1
- and interpreting runoff data using appropriate statistical techniques. (usgs.gov)
Concepts4
- 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)
Exploratory1
- 1978. Exploratory analysis of disease prevalence data from survival/sacrifice experiments. (springer.com)
Mathematical4
- 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)
Dichotomous data1
- thus dichotomous data involves the construction of classifications as well as the classification of items. (wikipedia.org)
Results of statistical analysis2
- 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)
SPSS2
- 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)
Centre1
- 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)
Practice2
- 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)
Bayesian1
- Bayesian Data Analysis. (psu.edu)
Incorporates1
- Our tissue data approach incorporates image analysis, machine learning, statistical analysis, and pathologist oversight. (flagshipbio.com)
Probability1
- Topics included in this Field Guide are basic probability theory, random processes, random fields, and random data analysis. (spie.org)
Conduct1
- 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)
Researchers2
- 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)
Parametric2
- 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)
Epidemiologic1
- Statistical analysis of epidemiologic data / Steve Selvin. (who.int)
Compute2
Techniques6
- 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)
Predictive1
- 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)
Range of statistical1
- Covers a range of statistical topics. (sas.com)
Commonly4
- 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)
Focuses2
- 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)
Samples1
- Remember that most statistical studies use samples instead of entire populations. (teach-nology.com)
Examples3
- 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)
Profiles2
- 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)
Patterns2
- 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)
Practical2
Descriptor1
- Data Interpretation, Statistical" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings) . (harvard.edu)
Systematic review1
- Procedure-specific acute pain trajectory after elective total hip arthroplasty: systematic review and data synthesis. (harvard.edu)
Application4
- 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)
20171
- Through this project, we analyzed spatial similarities in 2017 between the CDC WONDER and GVA data sets for the contiguous United States. (cdc.gov)
Emphasis1
- Emphasis will be placed on the interpretation of the results. (sas.com)
Assessment3
- 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)
Subjects2
- 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)
Measurement2
- 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)
Develop1
- Work with Flagship's image analysis experts to develop a unique solution for your project and data requirements. (flagshipbio.com)
Synthesis1
- 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)