Statistics as Topic: The science and art of collecting, summarizing, and analyzing data that are subject to random variation. The term is also applied to the data themselves and to the summarization of the data.Vital Statistics: Used for general articles concerning statistics of births, deaths, marriages, etc.National Center for Health Statistics (U.S.): A center in the PUBLIC HEALTH SERVICE which is primarily concerned with the collection, analysis, and dissemination of health statistics on vital events and health activities to reflect the health status of people, health needs, and health resources.Models, Statistical: Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.Data Interpretation, Statistical: Application of statistical procedures to analyze specific observed or assumed facts from a particular study.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.Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Computer Simulation: Computer-based representation of physical systems and phenomena such as chemical processes.Statistics, Nonparametric: A class of statistical methods applicable to a large set of probability distributions used to test for correlation, location, independence, etc. In most nonparametric statistical tests, the original scores or observations are replaced by another variable containing less information. An important class of nonparametric tests employs the ordinal properties of the data. Another class of tests uses information about whether an observation is above or below some fixed value such as the median, and a third class is based on the frequency of the occurrence of runs in the data. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed, p1284; Corsini, Concise Encyclopedia of Psychology, 1987, p764-5)Models, Genetic: Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.United StatesDeath Certificates: Official records of individual deaths including the cause of death certified by a physician, and any other required identifying information.Space-Time Clustering: A statistically significant excess of cases of a disease, occurring within a limited space-time continuum.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).Software: Sequential operating programs and data which instruct the functioning of a digital computer.Statistical Distributions: The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have.Mortality: All deaths reported in a given population.Likelihood Functions: Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.Cause of Death: Factors which produce cessation of all vital bodily functions. They can be analyzed from an epidemiologic viewpoint.Biometry: The use of statistical and mathematical methods to analyze biological observations and phenomena.StatisticsMonte Carlo Method: In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)Infant, Newborn: An infant during the first month after birth.Biostatistics: The application of STATISTICS to biological systems and organisms involving the retrieval or collection, analysis, reduction, and interpretation of qualitative and quantitative data.Data Collection: Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.Probability: The study of chance processes or the relative frequency characterizing a chance process.Sensitivity and Specificity: Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)Questionnaires: Predetermined sets of questions used to collect data - clinical data, social status, occupational group, etc. The term is often applied to a self-completed survey instrument.Age Distribution: The frequency of different ages or age groups in a given population. The distribution may refer to either how many or what proportion of the group. The population is usually patients with a specific disease but the concept is not restricted to humans and is not restricted to medicine.Bayes Theorem: A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.Sample Size: The number of units (persons, animals, patients, specified circumstances, etc.) in a population to be studied. The sample size should be big enough to have a high likelihood of detecting a true difference between two groups. (From Wassertheil-Smoller, Biostatistics and Epidemiology, 1990, p95)Poisson Distribution: A distribution function used to describe the occurrence of rare events or to describe the sampling distribution of isolated counts in a continuum of time or space.Cluster Analysis: A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.Risk Factors: An aspect of personal behavior or lifestyle, environmental exposure, or inborn or inherited characteristic, which, on the basis of epidemiologic evidence, is known to be associated with a health-related condition considered important to prevent.Cross-Sectional Studies: Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.EnglandAge Factors: Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.Time Factors: Elements of limited time intervals, contributing to particular results or situations.Databases, Factual: Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.Incidence: The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases, new or old, in the population at a given time.Registries: The systems and processes involved in the establishment, support, management, and operation of registers, e.g., disease registers.Population Surveillance: Ongoing scrutiny of a population (general population, study population, target population, etc.), generally using methods distinguished by their practicability, uniformity, and frequently their rapidity, rather than by complete accuracy.Sex Distribution: The number of males and females in a given population. The distribution may refer to how many men or women or what proportion of either in the group. The population is usually patients with a specific disease but the concept is not restricted to humans and is not restricted to medicine.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.Canada: The largest country in North America, comprising 10 provinces and three territories. Its capital is Ottawa.Research Design: A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.Regression Analysis: Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.Demography: Statistical interpretation and description of a population with reference to distribution, composition, or structure.Genetics, Population: The discipline studying genetic composition of populations and effects of factors such as GENETIC SELECTION, population size, MUTATION, migration, and GENETIC DRIFT on the frequencies of various GENOTYPES and PHENOTYPES using a variety of GENETIC TECHNIQUES.Sex Factors: Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances.Socioeconomic Factors: Social and economic factors that characterize the individual or group within the social structure.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.Wounds and Injuries: Damage inflicted on the body as the direct or indirect result of an external force, with or without disruption of structural continuity.Health Surveys: A systematic collection of factual data pertaining to health and disease in a human population within a given geographic area.Geographic Information Systems: Computer systems capable of assembling, storing, manipulating, and displaying geographically referenced information, i.e. data identified according to their locations.Poisoning: A condition or physical state produced by the ingestion, injection, inhalation of or exposure to a deleterious agent.Birth Certificates: Official certifications by a physician recording the individual's birth date, place of birth, parentage and other required identifying data which are filed with the local registrar of vital statistics.Birth Rate: The number of births in a given population per year or other unit of time.Genetic Linkage: The co-inheritance of two or more non-allelic GENES due to their being located more or less closely on the same CHROMOSOME.Life Expectancy: Based on known statistical data, the number of years which any person of a given age may reasonably expected to live.Nuclear Family: A family composed of spouses and their children.Infant Mortality: Postnatal deaths from BIRTH to 365 days after birth in a given population. Postneonatal mortality represents deaths between 28 days and 365 days after birth (as defined by National Center for Health Statistics). Neonatal mortality represents deaths from birth to 27 days after birth.Prevalence: The total number of cases of a given disease in a specified population at a designated time. It is differentiated from INCIDENCE, which refers to the number of new cases in the population at a given time.Linkage Disequilibrium: Nonrandom association of linked genes. This is the tendency of the alleles of two separate but already linked loci to be found together more frequently than would be expected by chance alone.International Classification of Diseases: A system of categories to which morbid entries are assigned according to established criteria. Included is the entire range of conditions in a manageable number of categories, grouped to facilitate mortality reporting. It is produced by the World Health Organization (From ICD-10, p1). The Clinical Modifications, produced by the UNITED STATES DEPT. OF HEALTH AND HUMAN SERVICES, are larger extensions used for morbidity and general epidemiological purposes, primarily in the U.S.ROC Curve: A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.Bias (Epidemiology): Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.Nature: The system of all phenomena in space and time; the totality of physical reality. It is both a scientific and philosophic concept appearing in all historic eras. (Webster 2d; Dr. James H. Cassedy, NLM History of Medicine Division)Models, Theoretical: Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.Normal Distribution: Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.Geography: The science dealing with the earth and its life, especially the description of land, sea, and air and the distribution of plant and animal life, including humanity and human industries with reference to the mutual relations of these elements. (From Webster, 3d ed)Logistic Models: Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.Cohort Studies: Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics.Diffusion Tensor Imaging: The use of diffusion ANISOTROPY data from diffusion magnetic resonance imaging results to construct images based on the direction of the faster diffusing molecules.Anisotropy: A physical property showing different values in relation to the direction in or along which the measurement is made. The physical property may be with regard to thermal or electric conductivity or light refraction. In crystallography, it describes crystals whose index of refraction varies with the direction of the incident light. It is also called acolotropy and colotropy. The opposite of anisotropy is isotropy wherein the same values characterize the object when measured along axes in all directions.WalesRisk Assessment: The qualitative or quantitative estimation of the likelihood of adverse effects that may result from exposure to specified health hazards or from the absence of beneficial influences. (Last, Dictionary of Epidemiology, 1988)Genome-Wide Association Study: An analysis comparing the allele frequencies of all available (or a whole GENOME representative set of) polymorphic markers in unrelated patients with a specific symptom or disease condition, and those of healthy controls to identify markers associated with a specific disease or condition.Predictive Value of Tests: In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.Genetic Variation: Genotypic differences observed among individuals in a population.Ethnic Groups: A group of people with a common cultural heritage that sets them apart from others in a variety of social relationships.Confidence Intervals: A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable.Chromosome Mapping: Any method used for determining the location of and relative distances between genes on a chromosome.Genetic Markers: A phenotypically recognizable genetic trait which can be used to identify a genetic locus, a linkage group, or a recombination event.Models, Neurological: Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.Epidemiologic Methods: Research techniques that focus on study designs and data gathering methods in human and animal populations.Pregnancy: The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH.Internet: A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.Stochastic Processes: Processes that incorporate some element of randomness, used particularly to refer to a time series of random variables.Neoplasms: New abnormal growth of tissue. Malignant neoplasms show a greater degree of anaplasia and have the properties of invasion and metastasis, compared to benign neoplasms.Great BritainLinear Models: Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.Health Status Indicators: The measurement of the health status for a given population using a variety of indices, including morbidity, mortality, and available health resources.Small-Area Analysis: A method of analyzing the variation in utilization of health care in small geographic or demographic areas. It often studies, for example, the usage rates for a given service or procedure in several small areas, documenting the variation among the areas. By comparing high- and low-use areas, the analysis attempts to determine whether there is a pattern to such use and to identify variables that are associated with and contribute to the variation.Prospective Studies: Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group.Image Processing, Computer-Assisted: A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.Models, Biological: Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.Censuses: Enumerations of populations usually recording identities of all persons in every place of residence with age or date of birth, sex, occupation, national origin, language, marital status, income, relation to head of household, information on the dwelling place, education, literacy, health-related data (e.g., permanent disability), etc. The census or "numbering of the people" is mentioned several times in the Old Testament. Among the Romans, censuses were intimately connected with the enumeration of troops before and after battle and probably a military necessity. (From Last, A Dictionary of Epidemiology, 3d ed; Garrison, An Introduction to the History of Medicine, 4th ed, p66, p119)Spatial Analysis: Techniques which study entities using their topological, geometric, or geographic properties.Chi-Square Distribution: A distribution in which a variable is distributed like the sum of the squares of any given independent random variable, each of which has a normal distribution with mean of zero and variance of one. The chi-square test is a statistical test based on comparison of a test statistic to a chi-square distribution. The oldest of these tests are used to detect whether two or more population distributions differ from one another.Public Health Informatics: The systematic application of information and computer sciences to public health practice, research, and learning.Homicide: The killing of one person by another.Analysis of Variance: A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable.Forms and Records Control: A management function in which standards and guidelines are developed for the development, maintenance, and handling of forms and records.Health Status: The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures.Mathematical Computing: Computer-assisted interpretation and analysis of various mathematical functions related to a particular problem.Suicide: The act of killing oneself.Genotype: The genetic constitution of the individual, comprising the ALLELES present at each GENETIC LOCUS.Haplotypes: The genetic constitution of individuals with respect to one member of a pair of allelic genes, or sets of genes that are closely linked and tend to be inherited together such as those of the MAJOR HISTOCOMPATIBILITY COMPLEX.Quality Control: A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed)Pattern Recognition, Automated: In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)Hospitalization: The confinement of a patient in a hospital.Continental Population Groups: Groups of individuals whose putative ancestry is from native continental populations based on similarities in physical appearance.Case-Control Studies: Studies which start with the identification of persons with a disease of interest and a control (comparison, referent) group without the disease. The relationship of an attribute to the disease is examined by comparing diseased and non-diseased persons with regard to the frequency or levels of the attribute in each group.Alleles: Variant forms of the same gene, occupying the same locus on homologous CHROMOSOMES, and governing the variants in production of the same gene product.Image Interpretation, Computer-Assisted: Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.Markov Chains: A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.Residence Characteristics: Elements of residence that characterize a population. They are applicable in determining need for and utilization of health services.Gene Expression Profiling: The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.European Continental Ancestry Group: Individuals whose ancestral origins are in the continent of Europe.Genetic Diseases, Inborn: Diseases that are caused by genetic mutations present during embryo or fetal development, although they may be observed later in life. The mutations may be inherited from a parent's genome or they may be acquired in utero.BrazilMatched-Pair Analysis: A type of analysis in which subjects in a study group and a comparison group are made comparable with respect to extraneous factors by individually pairing study subjects with the comparison group subjects (e.g., age-matched controls).Multivariate Analysis: A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.Severity of Illness Index: Levels within a diagnostic group which are established by various measurement criteria applied to the seriousness of a patient's disorder.Numerical Analysis, Computer-Assisted: Computer-assisted study of methods for obtaining useful quantitative solutions to problems that have been expressed mathematically.Oligonucleotide Array Sequence Analysis: Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.Genome, Human: The complete genetic complement contained in the DNA of a set of CHROMOSOMES in a HUMAN. The length of the human genome is about 3 billion base pairs.Gene Frequency: The proportion of one particular in the total of all ALLELES for one genetic locus in a breeding POPULATION.Meta-Analysis as Topic: A quantitative method of combining the results of independent studies (usually drawn from the published literature) and synthesizing summaries and conclusions which may be used to evaluate therapeutic effectiveness, plan new studies, etc., with application chiefly in the areas of research and medicine.Topography, Medical: The systematic surveying, mapping, charting, and description of specific geographical sites, with reference to the physical features that were presumed to influence health and disease. Medical topography should be differentiated from EPIDEMIOLOGY in that the former emphasizes geography whereas the latter emphasizes disease outbreaks.Psychometrics: Assessment of psychological variables by the application of mathematical procedures.Databases, Genetic: Databases devoted to knowledge about specific genes and gene products.False Positive Reactions: Positive test results in subjects who do not possess the attribute for which the test is conducted. The labeling of healthy persons as diseased when screening in the detection of disease. (Last, A Dictionary of Epidemiology, 2d ed)AccidentsNerve Fibers, Myelinated: A class of nerve fibers as defined by their structure, specifically the nerve sheath arrangement. The AXONS of the myelinated nerve fibers are completely encased in a MYELIN SHEATH. They are fibers of relatively large and varied diameters. Their NEURAL CONDUCTION rates are faster than those of the unmyelinated nerve fibers (NERVE FIBERS, UNMYELINATED). Myelinated nerve fibers are present in somatic and autonomic nerves.Spatio-Temporal Analysis: Techniques which study entities using their topological, geometric, or geographic properties and include the dimension of time in the analysis.Treatment Outcome: Evaluation undertaken to assess the results or consequences of management and procedures used in combating disease in order to determine the efficacy, effectiveness, safety, and practicability of these interventions in individual cases or series.Clinical Coding: Process of substituting a symbol or code for a term such as a diagnosis or procedure. (from Slee's Health Care Terms, 3d ed.)Accidents, Occupational: Unforeseen occurrences, especially injuries in the course of work-related activities.Health Services Accessibility: The degree to which individuals are inhibited or facilitated in their ability to gain entry to and to receive care and services from the health care system. Factors influencing this ability include geographic, architectural, transportational, and financial considerations, among others.Health Care Surveys: Statistical measures of utilization and other aspects of the provision of health care services including hospitalization and ambulatory care.Longitudinal Studies: Studies in which variables relating to an individual or group of individuals are assessed over a period of time.User-Computer Interface: The portion of an interactive computer program that issues messages to and receives commands from a user.History, 20th Century: Time period from 1901 through 2000 of the common era.Morbidity: The proportion of patients with a particular disease during a given year per given unit of population.Sequence Analysis, DNA: A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.Health Services: Services for the diagnosis and treatment of disease and the maintenance of health.Prognosis: A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.Medical Record Linkage: The creation and maintenance of medical and vital records in multiple institutions in a manner that will facilitate the combined use of the records of identified individuals.Medical Records: Recording of pertinent information concerning patient's illness or illnesses.Educational Status: Educational attainment or level of education of individuals.Hospital Records: Compilations of data on hospital activities and programs; excludes patient medical records.Photic Stimulation: Investigative technique commonly used during ELECTROENCEPHALOGRAPHY in which a series of bright light flashes or visual patterns are used to elicit brain activity.Periodicals as Topic: A publication issued at stated, more or less regular, intervals.Quantitative Trait Loci: Genetic loci associated with a QUANTITATIVE TRAIT.Interviews as Topic: Conversations with an individual or individuals held in order to obtain information about their background and other personal biographical data, their attitudes and opinions, etc. It includes school admission or job interviews.Follow-Up Studies: Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease.Visual Perception: The selecting and organizing of visual stimuli based on the individual's past experience.Risk: The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome.NorwayEpidemiologic Measurements: Statistical calculations on the occurrence of disease or other health-related conditions in defined populations.Coroners and Medical Examiners: Physicians appointed to investigate all cases of sudden or violent death.China: A country spanning from central Asia to the Pacific Ocean.Forecasting: The prediction or projection of the nature of future problems or existing conditions based upon the extrapolation or interpretation of existing scientific data or by the application of scientific methodology.Quantitative Trait, Heritable: A characteristic showing quantitative inheritance such as SKIN PIGMENTATION in humans. (From A Dictionary of Genetics, 4th ed)Episode of Care: An interval of care by a health care facility or provider for a specific medical problem or condition. It may be continuous or it may consist of a series of intervals marked by one or more brief separations from care, and can also identify the sequence of care (e.g., emergency, inpatient, outpatient), thus serving as one measure of health care provided.Software Validation: The act of testing the software for compliance with a standard.Least-Squares Analysis: A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.Genetic Predisposition to Disease: A latent susceptibility to disease at the genetic level, which may be activated under certain conditions.Accidents, Traffic: Accidents on streets, roads, and highways involving drivers, passengers, pedestrians, or vehicles. Traffic accidents refer to AUTOMOBILES (passenger cars, buses, and trucks), BICYCLING, and MOTORCYCLES but not OFF-ROAD MOTOR VEHICLES; RAILROADS nor snowmobiles.Annual Reports as Topic: Annual statements reviewing the status of the administrative and operational functions and accomplishments of an institution or organization.Government Agencies: Administrative units of government responsible for policy making and management of governmental activities.Patient Discharge: The administrative process of discharging the patient, alive or dead, from hospitals or other health facilities.JapanBrain: The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM.Psychophysics: The science dealing with the correlation of the physical characteristics of a stimulus, e.g., frequency or intensity, with the response to the stimulus, in order to assess the psychologic factors involved in the relationship.Magnetic Resonance Imaging: Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.Population: The total number of individuals inhabiting a particular region or area.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.Genomics: The systematic study of the complete DNA sequences (GENOME) of organisms.African Americans: Persons living in the United States having origins in any of the black groups of Africa.Hospitals: Institutions with an organized medical staff which provide medical care to patients.Health Knowledge, Attitudes, Practice: Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL).Odds Ratio: The ratio of two odds. The exposure-odds ratio for case control data is the ratio of the odds in favor of exposure among cases to the odds in favor of exposure among noncases. The disease-odds ratio for a cohort or cross section is the ratio of the odds in favor of disease among the exposed to the odds in favor of disease among the unexposed. The prevalence-odds ratio refers to an odds ratio derived cross-sectionally from studies of prevalent cases.Absenteeism: Chronic absence from work or other duty.Patient Admission: The process of accepting patients. The concept includes patients accepted for medical and nursing care in a hospital or other health care institution.Entropy: The measure of that part of the heat or energy of a system which is not available to perform work. Entropy increases in all natural (spontaneous and irreversible) processes. (From Dorland, 28th ed)Image Enhancement: Improvement of the quality of a picture by various techniques, including computer processing, digital filtering, echocardiographic techniques, light and ultrastructural MICROSCOPY, fluorescence spectrometry and microscopy, scintigraphy, and in vitro image processing at the molecular level.Urban Population: The inhabitants of a city or town, including metropolitan areas and suburban areas.Pedigree: The record of descent or ancestry, particularly of a particular condition or trait, indicating individual family members, their relationships, and their status with respect to the trait or condition.Hispanic Americans: Persons living in the United States of Mexican (MEXICAN AMERICANS), Puerto Rican, Cuban, Central or South American, or other Spanish culture or origin. The concept does not include Brazilian Americans or Portuguese Americans.Breast Neoplasms: Tumors or cancer of the human BREAST.Computer Graphics: The process of pictorial communication, between human and computers, in which the computer input and output have the form of charts, drawings, or other appropriate pictorial representation.Population Growth: Increase, over a specific period of time, in the number of individuals living in a country or region.Contrast Sensitivity: The ability to detect sharp boundaries (stimuli) and to detect slight changes in luminance at regions without distinct contours. Psychophysical measurements of this visual function are used to evaluate visual acuity and to detect eye disease.Rural Population: The inhabitants of rural areas or of small towns classified as rural.Discriminant Analysis: A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values. It is sometimes used instead of regression analysis.Outcome Assessment (Health Care): Research aimed at assessing the quality and effectiveness of health care as measured by the attainment of a specified end result or outcome. Measures include parameters such as improved health, lowered morbidity or mortality, and improvement of abnormal states (such as elevated blood pressure).State Medicine: A system of medical care regulated, controlled and financed by the government, in which the government assumes responsibility for the health needs of the population.Evolution, Molecular: The process of cumulative change at the level of DNA; RNA; and PROTEINS, over successive generations.

*  Statistics of income
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*  Behance :: Statistics of:BLYSS
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http://behance.net/blyss/stats
*  Package Statistics
General Statistics. Number of releases: 1. Total downloads: 2,352. Release Statistics. Version. Downloads. Released. Last ...
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*  Package Statistics
General Statistics. Number of releases: 24. Total downloads: 13,322. Release Statistics. Version. Downloads. Released. Last ...
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*  Package Statistics
General Statistics. Number of releases: 7. Total downloads: 348,049. Release Statistics. Version. Downloads. Released. Last ...
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*  Package Statistics
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*  Package Statistics
General Statistics. Number of releases: 3. Total downloads: 12,171. Release Statistics. Version. Downloads. Released. Last ...
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*  Package Statistics
General Statistics. Number of releases: 8. Total downloads: 8,667. Release Statistics. Version. Downloads. Released. Last ...
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*  Package Statistics
General Statistics. Number of releases: 27. Total downloads: 102,085. Release Statistics. Version. Downloads. Released. Last ...
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*  Package Statistics
General Statistics. Number of releases: 5. Total downloads: 5,276. Release Statistics. Version. Downloads. Released. Last ...
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*  Browsing Section for Epidemiology and Medical Statistics by Subject
... toggle navigation bora uib bora english norsk english english norsk login toggle navigation browsing section for epidemiology and medical statistics by subject bora home faculty of medicine and dentistry department of global public health and primary care section for epidemiology and medical statistics browsing section for epidemiology and medical statistics by subject bora home faculty of medicine and dentistry department of global public health and primary care section for epidemiology and medical statistics browsing section for epidemiology and medical statistics by subject javascript is disabled for your browser some features of this site may not work without it browsing section for epidemiology and medical statistics by subject a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z go order ascending descending results update now showing items of ascending descending subject de privation adults birth weight ...
https://bora.uib.no/handle/1956/944/browse?rpp=20&order=ASC&sort_by=-1&etal=-1&type=subject&starts_with=U
*  Browsing Section for Epidemiology and Medical Statistics by Author "Bjelland%2C Ingvar"
browsing section for epidemiology and medical statistics by author bjelland c ingvar toggle navigation bora uib bora english norsk english english norsk login toggle navigation browsing section for epidemiology and medical statistics by author bora home faculty of medicine and dentistry department of global public health and primary care section for epidemiology and medical statistics browsing section for epidemiology and medical statistics by author bora home faculty of medicine and dentistry department of global public health and primary care section for epidemiology and medical statistics browsing section for epidemiology and medical statistics by author javascript is disabled for your browser some features of this site may not work without it browsing section for epidemiology and medical statistics by author bjelland c ingvar a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z go sort by title issue date ...
https://bora.uib.no/handle/1956/944/browse?value=Bjelland%2C Ingvar&type=author
*  Wiley: Modern Medical Statistics: A Practical Guide - Brian S. Everitt
United States Change My Account Cart Home Subjects About Wiley Contact Us Help Search Form Search Input Print this page Share Home / Mathematics & Statistics / Biostatistics / Medical Statistics & Epidemiology Modern Medical Statistics: A Practical Guide Brian S. Everitt ISBN: 978-0-470-71116-3 250 pages June 2010 Description Statistical science plays an increasingly important role in medical research. Over the last few decades, many new statistical methods have been developed which have particular relevance for medical researchers and, with the appropriate software now easily available, these techniques can be used almost routinely to great effect. These innovative methods include survival analysis, generalized additive models and Bayesian methods. Modern Medical Statistics covers these essential new techniques at an accessible technical level, its main focus being not on the theory but on the effective practical application of these methods in medical research. Modern ...
http://wiley.com/WileyCDA/WileyTitle/productCd-0470711167.html
*  Regularized canonical correlation analysis
... is a way of using ridge regression to solve the singularity problem in the cross covariance matrices of canonical correlation analysis by converting operatorname cov x x and operatorname cov y y into operatorname cov x x lambda i x and operatorname cov y y lambda i y it ensures that the above matrices will have reliable inverses the idea probably dates back to hrishikesh d vinod s publication in where he called it canonical ridge it has been suggested for use in the analysis of functional neuroimaging data as such data are often singular it is possible to compute the regularized canonical vectors in the lower dimensional space section references category mathematical analysis category calculus of variations
https://en.wikipedia.org/wiki/Regularized_canonical_correlation_analysis
*  Medical statistics
... "Statistics in Medicine". the journal Statistics in Medicine journal. 'Medical statistics' deals with applications of statistics to medicine and the health science s, including epidemiology, public health, forensic medicine, and clinical research. Medical statistics has been a recognized branch of statistics in the United Kingdom for more than 40 years but the term has not come into general use in North America, where the wider term ' biostatistics ' is more commonly used. ISBN 0-19-850994-4 However, "biostatistics" more commonly connotes all applications of statistics to biology. Pharmaceutical statistics Basic concepts Related statistical theory See also References Further reading External links. Pharmaceutical statistics. 'Pharmaceutical statistics' is the application of statistics to matters concerning the pharmaceutical industry. This can be from issues of design of experiments, to analysis of drug trials, to ...
https://en.wikipedia.org/wiki/Medical_statistics
*  Statistical Study of Factors Influencing Impact Strength of Turbine Generator Rotors Influence of Te
... mper Embrittlement. Products and Services / Standards & Publications / Symposia Papers & STPs. You are being redirected because this document is part of your ASTM Compass subscription. This document is part of your ASTM Compass subscription. Stay on Page Continue to Compass. STP407 Statistical Study of Factors Influencing Impact Strength of Turbine Generator Rotors Influence of Temper Embrittlement Published: Jan 1968.   Format Pages Price  . PDF 16 $ 25   ADD TO CART. Complete Source PDF 7.2M 16 $77   ADD TO CART. Source: STP407-EB ASTM License Agreement. Abstract The authors present a statistical analysis of the results of Charpy V-notch transition temperature obtained on 115 Ni-Cr-Mo-V, Cr-Mo, and Cr-Mo-V rotors. Because heat treatment of these forgings includes a slow cooling after tempering, a particular study or reversible temper embrittlement is made separately. The lowest transition temperature in the regenerated state without embrittlement is achieved by lowering the phosphorus ...
http://astm.org/DIGITAL_LIBRARY/STP/PAGES/STP46476S.htm
*  Hans C van Houwelingen
... Leiden University Medical Center van Houwelingen Hans C van Houwelingen. 2013 Advanced methods in meta-analysis: multivariate approach and meta-regression Hans C van Houwelingen Department of Medical Statistics, Leiden University Medical Center, P O Box 9604, 2300 RC Leiden, The Netherlands Stat Med 21:589-624. 2002 Cross-validated Cox regression on microarray gene expression data Hans C van Houwelingen Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, P O Box 9604, 2300 RC Leiden, The Netherlands Stat Med 25:3201-16. 2006 Interim analysis on survival data: its potential bias and how to repair it Hans C van Houwelingen Department of Medical Statistics, Leiden University Medical Center, RC Leiden, The Netherlands Stat Med 24:2823-35. 2008 Evaluation of diagnostic NOTCH3 immunostaining in CADASIL Saskia A J Lesnik Oberstein Department of Clinical Genetics, K5 R, Leiden University Medical Center, P O Box 9600, 2300 RC Leiden, The Netherlands Acta ...
http://labome.org/expert/the/leiden/van/hans-c-van-houwelingen-605383.html
*  Category:Medical statistics
category medical statistics category medical statistics category fields of application of statistics category health informatics category health economics category biostatistics
https://en.wikipedia.org/wiki/Category:Medical_statistics
*  Medical Statistics Don't Always Mean What They Seem to Mean - ABC News
... Good News. Good Morning America. World News Tonight. Now on ABC News. New York City. Privacy Policy. Your CA Privacy Rights. Good News. New York City New York City. Privacy Policy Privacy Policy. Your CA Privacy Rights Your CA Privacy Rights. Medical statistics are often misunderstood perhaps up to 72.381672 percent of the time. All things being equal, describing results in terms of absolute risk gives a more informative picture than does describing them in terms of relative risk. We should always ask for the reduction in absolute risk and not just for the reduction of the relative risk. If cutting out an occasional portion of pork rinds, say, reduces your risk of some cancer by 67 percent, you may decide they're worth it if you know your absolute risk will decline from three in a million to one in a million. The other country admits that its 5-year survival rate for Y is 0 percent, seemingly a debacle. It might be that in both countries there are approximately 45 cancer Y deaths per 100,000 ...
http://abcnews.go.com/Technology/WhosCounting/medical-statistics/story?id=9460557
*  Business statistics
... is the science of good decision making in the face of uncertainty and is used in many disciplines such as financial analysis econometrics auditing production and operations including services improvement and marketing research journal of business economic statistics these sources feature regular repetitive publication of series of data this makes the topic of time series especially important for business statistics it is also a branch of applied statistics working mostly on data collected as a by product of doing business or by government agencies it provides knowledge and skills to interpret and use statistical techniques in a variety of business applications a typical business statistics course is intended for business majors and covers statistical study descriptive statistics collection description analysis and summary of data probability and the binomial and normal distribution s test of hypotheses and confidence intervals linear regression and correlation e pekoz ...
https://en.wikipedia.org/wiki/Business_statistics
*  NVSS - National Vital Statistics System Homepage
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. National Vital Statistics System. National Vital Statistics System About NVSS. What's New. Birth Data. Datasets and Related Documentation. Results and Publications. Mortality Data. Datasets and Related Documentation. Public Use Data Files. Mortality Medical Data System. Writing Cause of Death Statements. Results and Publications. Related Sites. Fetal Death Data. Linked Birth and Infant Death Data. Marriages and Divorces. National Maternal and Infant Health Survey. National Mortality Followback Survey. Datasets and Related Documentation. Results and Products. e-Vital ...
http://cdc.gov/nchs/nvss.htm
*  Vital statistics of the United States :: State Lib Oh Digital Collection
... State Library of Ohio Digital Collection Home Browse All Ohio Memory Home About Ohio Memory. Searching collections:. State Lib Oh Digital Collection. Add or remove collections. State Lib Oh Digital Collection Vital statistics of the United States. Vital statistics of the United States. Vital statistics of the United States File Format: Link to Web File - url. Description Title Vital statistics of the United States. ; Vital Statistics--United States. 1998- : Technical appendix from Vital statistics of the United States. ; Latest mortality data available from the NCHS web site. 1, Natality ; title from report page web site. for 1950-1959 issued by: National Office of Vital Statistics ; 1959-1962 by: National Center for Health Statistics, National Vital Statistics Division ; 1963-1993 by: the Centers for Disease Control, National Center for Health Statistics, Division of Vital Statistics ; 1994- by: the National Center for Health ...
http://cdm16007.contentdm.oclc.org/cdm/singleitem/collection/p267401ccp2/id/565/rec/4
*  Products - Data Briefs - Number 136 - December 2013
National Health Statistics Reports. Contact Us: National Center for Health Statistics 3311 Toledo Rd Room 5419 Hyattsville, MD 20782-2064 1 800 232-4636 TTY: 1 888 232-6348. Ventura, M.A., National Center for Health Statistics; and Stanley K. Data on pregnancy outcomes by age, race and Hispanic origin, and marital status are presented using data from the National Vital Statistics System, the Abortion Surveillance System and Guttmacher Institute, and the National Survey of Family Growth NSFG. SOURCES: CDC/NCHS, National Vital Statistics System and National Survey of Family Growth; CDC, Abortion Surveillance System; and Guttmacher Institute. SOURCES: CDC/NCHS, National Vital Statistics System and National Survey of Family Growth; CDC, Abortion Surveillance System; and Guttmacher Institute. SOURCES: CDC/NCHS, National Vital Statistics System and National Survey of Family Growth; CDC, Abortion Surveillance System; and Guttmacher Institute. Pregnancy rates for ...
http://cdc.gov/nchs/data/databriefs/db136.htm
*  Products - Data Briefs - Number 58 - February 2011
Health, United States. National Health Statistics Reports. National Vital Statistics Reports. Vital and Health Statistics Series. Contact Us: National Center for Health Statistics 3311 Toledo Rd Room 5419 Hyattsville, MD 20782-2064 1 800 232-4636 TTY: 1 888 232-6348. Birth rates for older teenagers aged 18-19 fell in 45 states from 2007 through 2009. Key findings Data from the Natality Data File, National Vital Statistics System. The teenage birth rate declined 8 percent in the United States from 2007 through 2009, reaching a historic low at 39.1 births per 1,000 teens aged 15-19 years. The most current data available from the National Vital Statistics System are used to illustrate trends and variations through 2009. birth rate for teenagers in 2009 was the lowest it has ever been in the nearly 70 years for which national data are available 1, 5, 8 Figure 1. Access data table for Figure 1. SOURCE: CDC/NCHS, National Vital Statistics System. Access data table ...
http://cdc.gov/nchs/data/databriefs/db58.htm
*  NVSS - Mortality - Historical Data - Life Expectancy
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Search The CDC. National Vital Statistics System. National Vital Statistics System About NVSS. Birth Data. Datasets and Related Documentation. Results and Publications. Mortality Data. Datasets and Related Documentation. Public Use Data Files. Mortality Medical Data System. Results and Publications. Related Sites. Fetal Death Data. Linked Birth and Infant Death Data. National Maternal and Infant Health Survey. National Mortality Followback Survey. Datasets and Related Documentation. Results and Products. e-Vital Standards Initiative. How to Access e-Vital Standards. e-Vital Standards Information Products. Publications and Information Products. Related Sites Surveys and Data Collection Systems. Vital Statistics Online. National Death Index. Standard Vital Certificates. NCHS Home. Surveys and Data ...
http://cdc.gov/nchs/nvss/mortality/historical_life_expectancy.htm
*  Leading Causes of Death in Females 2009 - Women's Health - CDC
... Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options CDC Home. Women's Health. Leading Causes of Death in Females United States, 2009 On this Page All Females. Below are the leading causes of death in females for 2009. All Females, All Ages Percent* 1 Heart disease 24.0. 4 Chronic lower respiratory diseases 5.9. All Females by Age Group- United States, 2009 All Females by Race/Ethnicity- United States, 2009 Leading Causes of Death Short and Full Terms Top of Page White Females, All Ages Percent* 1 Heart disease 24.0. 3 Chronic lower respiratory diseases 6.4. White Females by Age Group- United States, 2009 Leading Causes of Death Short and Full Terms Top of Page Black Females, All Ages Percent* 1 Heart disease 24.4. 6 Chronic lower respiratory diseases 2.9. Black Females by Age Group- United States, 2009 Leading Causes of Death Short and Full Terms Top of Page American Indian or Alaska Native Females, All Ages ...
http://cdc.gov/Women/lcod/2009/index.htm
*  Chronic lower respiratory disease
... redirect chronic obstructive pulmonary disease
https://en.wikipedia.org/wiki/Chronic_lower_respiratory_disease
*  CDC - National Center for Health Statistics
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. Explore our interactive map of 2012, 2000, and 1991 teen birth rates, from our report, "National and State Patterns of Teen Births in the United States, 1940-2013". Explore our interactive map of 2011 age-adjusted death rates, from the National Vital Statistics System. map of first birth rates to older women, 2000 and 2012, from the National Vital Statistics System. New RELEASES Racial and Gender Disparities in Suicide Among Young Adults Aged 18–24: United States, 2009–2013 NCHS Health E-Stat, September 2015 2014 Birth Data Files and User Guide Now Available Data Release, September 2015 Births in the United States, 2014 NCHS Data Brief No. SURVEYS AND DATA COLLECTION SYSTEMS National Health and Nutrition Examination Survey NHANES National Health Care Surveys National Health Interview Survey NHIS National Immunization Survey NIS National Survey ...
http://cdc.gov/nchs/
*  NVSS - Mortality - Historical Data - LEWK2
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Search The CDC. National Vital Statistics System. National Vital Statistics System About NVSS. Birth Data. Datasets and Related Documentation. Mortality Data. Datasets and Related Documentation. Mortality Medical Data System. Linked Birth and Infant Death Data. National Maternal and Infant Health Survey. National Mortality Followback Survey. Datasets and Related Documentation. e-Vital Standards Information Products. Publications and Information Products. Related Sites Surveys and Data Collection Systems. Vital Statistics Online. National Death Index. Surveys and Data Collection Systems. National Vital Statistics System. Mortality Data. Historical Data. Life Expectancy. LEWK2 Interpolated Abridged Life Table, United States, 1996. LEWK2 provides values showing the mortality experience of a ...
http://cdc.gov/nchs/nvss/mortality/historical_lewk2.htm
*  Vital Statistics Administration - apps
... . You may be trying to access this site from a secured browser on the server. Please enable scripts and reload this page. Turn on more accessible mode Turn off more accessible mode Skip Ribbon Commands Skip to main content. This page location is: Vital Statistics Administration. apps. . Sign In. The Department of Health and Mental Hygiene skip to content. access shortcuts. Email Friend. print page. Quick Launch DHMH. VSA Home. Vital Records Information. Data Reports. Vital Statistics Reports. Drug Overdose Data and Reports. FAQ. Contact VSA. . Top Link Bar Vital Statistics Administration Currently selected. MD-EDRS. A - Z Index. A. B. C. D. E. F. G. H. I. J. K. L. M. N. O. P. Q. R. S. T. U. V. W. X. Y. Z. En Español. Vital Statistics Administration. apps. ​​ General Information The Division of Vital Records of the Maryland Department of Health and Mental Hygiene issues certified copies of birth, death, fetal death, and marriage certificates for events that occur in Maryland. ...
http://dhmh.maryland.gov/vsa/sitepages/apps.aspx
*  NVSS - NMFS - Background Information
Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. Search The CDC. National Vital Statistics System. National Vital Statistics System About NVSS. Mortality Data. Mortality Medical Data System. National Maternal and Infant Health Survey. National Mortality Followback Survey. How to Access e-Vital Standards. e-Vital Standards Information Products. Related Sites Surveys and Data Collection Systems. National Death Index. Surveys and Data Collection Systems. National Vital Statistics System. National Mortality Followback Survey. Background Information The release of provisional data from the 1993 National Mortality Followback Survey NMFS represents a 6-year collaborative project between the National Center for Health Statistics NCHS and various Federal agencies, State and local governments, colleges and universities, and private associations and organizations. The tables presented in these ...
http://cdc.gov/nchs/nvss/nmfs/nmfs_background.htm
*  NVSS - Mortality Tables - Leading Causes of Death - LCWK1
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. National Vital Statistics System. National Vital Statistics System About NVSS. What's New. Birth Data. Datasets and Related Documentation. Results and Publications. Mortality Data. Datasets and Related Documentation. Public Use Data Files. Mortality Medical Data System. Writing Cause of Death Statements. Results and Publications. Related Sites. Fetal Death Data. Linked Birth and Infant Death Data. Marriages and Divorces. National Maternal and Infant Health Survey. National Mortality Followback Survey. Datasets and Related Documentation. Results and Products. e-Vital ...
http://cdc.gov/nchs/nvss/mortality/lcwk1.htm
*  Vital Statistics
... County Events. Social Media Center. Work Board of Commissioners Meetings Building Inspections Contracts RFPs County Codes Ordinances County Planning Zoning Economic Development Services Report a Pothole Restaurant Inspections. Live Children Family Volunteering Opportunities Justice Court Dog Services Shelter Emergencies Alerts Health Services Juvenile Services Public Safety Marriage Licences Affordable Housing Information Victim Assistance. Explore County Events Libraries in Marion County Marion County Parks Points of Interest. Discover County Fees Civil Process Fees Dog License Fees Waste Disposal Rates Building Permit Fees Planning Fees Recording Fees Surveyor Office Fees System Development Charges. Search Adoptable Dogs County Employees County Inmate Lookup Contracting Opportunities Job Opportunities GIS Property Records. Assessor's Office Board of Commissioners Business Services Clerk's Office Community Services District Attorney. Contact Us. Contact the County Contact Us Emergency Contacts Employee ...
http://co.marion.or.us/HLT/vitals/?wbc_purpose=Basic&WBCMODE=PresentationUnpublished,PresentationU
*  Vital statistics
... may refer to vital statistics government records a government database recording the births and deaths of individuals within that government s jurisdiction bust waist hip measurements informally called vital statistics measurements for the purpose of fitting clothes vital signs measures of various physiological statistics often taken by health professionals in order to assess the most basic body functions vital statistics opera a one act opera about physiognomy re titled facing goya see also vitalstatistix in the list of asterix characters
https://en.wikipedia.org/wiki/Vital_statistics
*  Report On Vital Statistics 2007 - CSO - Central Statistics Office
... This website uses cookies. To find out more about our use of cookies you can visit our privacy and cookies statement. By browsing this website, you agree to our use of cookies. Statistics. Statistics. Population. Births, Deaths Marriages. Labour Market and Earnings. General Statistical Publications. Other Statistical Publications. A-Z of Releases and Publications. Agricultural Labour Input. Home / News and Events / Press Releases / 2010 Press Releases / Report On Vital Statistics 2007. Press Releases. Report On Vital Statistics 2007. The CSO today released the Vital Statistics Annual 2007 report. The birth rate in 2007 was 16.5 per 1,000 of the population, 1.1 births per 1,000 above 2006. This figure decreases to 28% of second children born outside marriage, and 22% of third children born outside marriage. Deaths. There were 28,117 deaths in 2007, a decrease of 371 on the 2006 figure. The death rate in 2007 was 6.5 per 1,000 of the population compared with 6.7 per ...
http://cso.ie/en/newsandevents/pressreleases/2010pressreleases/reportonvitalstatistics2007/
*  FastStats - Chronic Lower Respiratory Disease
... Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content. Start of Search Controls. Search Form Controls. Search The CDC Cancel. Submit Search The CDC. CDC A-Z Index. MENU. CDC A-Z. SEARCH. A. B. C. D. E. F. G. H. I. J. K. L. M. N. O. P. Q. R. S. T. U. V. W. X. Y. Z. #. Start of Search Controls. Search Form Controls. Search The CDC Cancel. Submit Search The CDC. FastStats. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. FastStats Homepage. Diseases and Conditions Anemia or Iron Deficiency. Arthritis and Bone. Arthritis. Osteoporosis Cancer Cancer. Prostate Disease Cardiovascular Cerebrovascular Disease or Stroke. Cholesterol. Heart Disease. Hypertension Dementia and Mental Health. Alzheimer's Disease. Attention Deficit Hyperactivity Disorder. Depression. Mental ...
http://cdc.gov/nchs/fastats/copd.htm
*  CDC - Rate per 100,000 Diabetic Population by Age Females by Age - Mortality Due to Hyperglycemic Cr
... ises - Data Trends - Diabetes DDT. For more information about this message, please visit this page: About CDC.gov. Death Rates for Hyperglycemic Crises as Underlying Cause per 100,000 Diabetic Population, Females, by Age, United States, 1980 2009. Year Age 45 45–64 65–74 75+ Total Age-Adjusted Rate Std Error Rate Std Error Rate Std Error Rate Std Error Rate Std Error Rate Std Error 1980 34.9 2.5 31.6 1.7 51.9 3.1 135.3 11.4 55.2 1.7 41.4 1.8. Methods and Limitations Data Source: Division of Vital Statistics data from the National Vital Statistics System and Division of Health Interview Statistics data from the National Health Interview Survey. National Center for Health Statistics, Centers for Disease Control and Prevention. Data is computed by personnel in CDC's Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion. Contact Us: Centers for Disease Control and Prevention 1600 Clifton Rd Atlanta, GA 30333 800-CDC-INFO 800-232-4636 ...
http://cdc.gov/diabetes/statistics/mortalitydka/tRateDKAFemalesDiabPopByAge.htm
*  2007 National Healthcare Quality Report: Data Tables Appendix--Table 1.72a
... Your browser doesn't support JavaScript. Please upgrade to a modern browser or enable JavaScript in your existing browser. www.ahrq.gov AHRQ Home Live Site. Archive Home. Site Map. AHRQ Archive Home. National Healthcare Quality Disparities Reports, 2007. Quality Report: Data Tables Appendix. This information is for reference purposes only. Archive material is no longer maintained, and some links may not work. Persons with disabilities having difficulty accessing this information should contact us at: https://info.ahrq.gov. Let us know the nature of the problem, the Web address of what you want, and your contact information. Please go to www.ahrq.gov for current information. Standard error Number Percent b. Standard error Mother's age 0-14 2,631 49.2 0.7 4,329 47.8 0.5. Black 354,345 76.4 0.1 428,102 73.3 0.1. White 2,161,370 85.4 0.0 2,581,679 84.8 0.0. Mother's ethnicity Hispanic, all races 626,558 77.5 0.0 526,798 74.3 0.1. Non-Hispanic, all races 2,060,972 86.1 0.0 2,611,084 84.8 0.0. Non-Hispanic, ...
http://archive.ahrq.gov/qual/nhqr07/effectiveness/maternalch/T1.072A.htm
*  InterLinc: LLCHD: 2000 Vital Statistics Report
... lincoln.ne.gov. Lincoln-Lancaster County Health Department Health Data & Evaluation 2000 Vital Statistics Report. All reports are in pdf format. 2000 Vital Statistics Report In Full 722K. Introduction 138K. Birth Statistics 281K. Death Statistics 373K. Marriage & Divorce Statistics 135K. Definitions 70K. Infant Mortality Map 47K. Health. Health Data & Evaluation. .
http://lincoln.ne.gov/city/health/data/epi/vs2000/index.htm
*  CDC - Injury: WISQARS - Data Use Restrictions
... Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Injury Prevention Control. Injury Center Saving Lives and Protecting People from Injuries and Violence. Data and Statistics WISQARS. Injury Control Research Centers ICRCs. Injury Center Topics Saving Lives Protecting People. Data Statistics WISQARS. The data source for WISQARS Fatal Injury Data is the National Vital Statistics System NVSS operated by the National Center for Health Statistics. The National Center for Health Statistics NCHS in an agreement with the National Association of Public Health Statistics and Information Systems NAPHSIS has implemented a new, more restrictive rule for reporting state- and county-level death data for years 2008 and later from NVSS in order to avoid inadvertent disclosure of a decedent's identity. Therefore, queries of state-level data for years 1999 ...
http://webappa.cdc.gov/sasweb/ncipc/dataRestriction_lcd.html
*  Referral Page - NSFG - Key Statistics
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. National Center for Health Statistics. NCHS Home Surveys and Data Collection Systems. National Health Care Surveys. National Health Interview Survey. National Health and Nutrition Examination Survey. National Vital Statistics System. Publications. Browse/Search Publications. Data Briefs. Health E-Stats. Health, United States. Data Access. Data Linkage. Public Use Data Documentation. Research Data Center. Tools. NCHS Home. This Page Has Been Relocated In 5 seconds, you will be redirected to the following location: /nchs/nsfg/key statistics.htm. Print page. Contact Us: ...
http://cdc.gov/nchs/nsfg/abc_list_a.htm
*  Women's health: Prevent top threats | Home - Home
Women's health: Prevent top threats. News. Local News. Most Popular. Video. Slideshows. Weather. Weather. Current Conditions. 7 Day Forecast. Detailed Forecast. Alerts. Sports. Sports. High School Sports. On TV. Get Email Alerts. u local. Fed Up With Diabetes. Women's health: Prevent top threats. include heart disease, stroke, cancer and chronic lower respiratory disease, according to statistics from the Centers for Disease Control and Prevention. Take the first step to protect yourself by talking with your doctor about your risk factors for these conditions. If you have health problems, such as high cholesterol, high blood pressure or diabetes, that increase your risk of heart disease and stroke, follow your doctor's treatment recommendations. While you can't eliminate risk factors such as family history, you can control many other risk factors for heart disease, stroke and cancer. Don't smoke. Eat a healthy diet. Losing excess pounds -- and keeping them off -- can lower your risk of heart disease as ...
http://m.wapt.com/womens-health-prevent-top-threats/21868534
*  Women's health: Prevent top threats | KHBS Home - KHBS Home
Women's health: Prevent top threats. KHBS Home - KHBS Home. Back To Mobile Site. Back To Mobile Site. Manage Subscriptions Log Out. Alerts Mobile Submit a Tip. News. Weather. u local. On TV. Watch 40/29 News On Demand. Alerts. View Map ». View Map ». u local. LATEST VIDEOCAST. Get Alerts ». Weather Alerts. Women's health: Prevent top threats. Tweet. By Mayo Clinic News Network. include heart disease, stroke, cancer and chronic lower respiratory disease, according to statistics from the Centers for Disease Control and Prevention. Take the first step to protect yourself by talking with your doctor about your risk factors for these conditions. If you have health problems, such as high cholesterol, high blood pressure or diabetes, that increase your risk of heart disease and stroke, follow your doctor's treatment recommendations. While you can't eliminate risk factors such as family history, you can control many other risk factors for heart disease, stroke and cancer. Don't smoke. If you smoke or use ...
http://4029tv.com/womens-health-prevent-top-threats/21868534?item=0
*  Women's health: Prevent top threats | KXLY.com - KXLY.com
Women's health: Prevent top threats. KXLY.com - KXLY.com. Women's health: Prevent top threats. Published On: Sep 10 2013 11:27:53 AM PDT. include heart disease, stroke, cancer and chronic lower respiratory disease, according to statistics from the Centers for Disease Control and Prevention. Take the first step to protect yourself by talking with your doctor about your risk factors for these conditions. Manage chronic conditions and get recommended screenings. If you have health problems, such as high cholesterol, high blood pressure or diabetes, that increase your risk of heart disease and stroke, follow your doctor's treatment recommendations. While you can't eliminate risk factors such as family history, you can control many other risk factors for heart disease, stroke and cancer. Don't smoke. If you smoke or use other tobacco products, ask your doctor to help you quit. It's also important to avoid exposure to secondhand smoke. Eat a healthy diet. Maintain a healthy weight. Losing excess pounds -- ...
http://kxly.com/womens-health-prevent-top-threats/21868534?view=print
*  Referral Page - ICD - NACC
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. National Center for Health Statistics. NCHS Home Surveys and Data Collection Systems. National Health Care Surveys. National Health Interview Survey. National Health and Nutrition Examination Survey. National Vital Statistics System. Publications. Browse/Search Publications. Data Briefs. Health E-Stats. Health, United States. Data Access. Data Linkage. Public Use Data Documentation. Research Data Center. Tools. NCHS Home. This Page Has Been Relocated In 5 seconds, you will be redirected to the following location: /nchs/icd.htm. Print page. Contact Us: National Center for ...
http://cdc.gov/nchs/about/otheract/icd9/nacc.htm
*  Beef prices may hit record high in 2013 - Economy
... Economy Now. Instant reaction and smart charts on economic trends. Beef prices may hit record high in 2013. By Annalyn Kurtz December 14, 2012: 9:17 AM ET. Your hamburger could cost more in 2013. Global beef prices are expected to rise to record highs in 2013, according to Rabobank, a Dutch financial firm with a focus on agriculture. Their analysts point to the "lethargic world economy," and a beef supply that has largely remained flat for six years straight. In the United States alone, beef production is expected to decline significantly in 2013, whether or not droughts in the Midwest continue. Even if more rain restores pastures next year, beef production could be down as much as 9%, said David Nelson, a Rabobank analyst. "This is because ranchers would then hold back young females heifers for breeding to expand, instead of sending them to the market," he said. If the drought continues, ranchers are more likely to send their heifers to market sooner, but still, Nelson said he expects beef production ...
http://economy.money.cnn.com/2012/12/14/beef-prices/?cnn=yes
*  Products - Data Briefs - Number 47 - October 2010
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. Publications and Information Products. Publications and Information Products Data Briefs. Early Release. Health E-Stats. Health, United States. Life Tables. National Health Statistics Reports. National Vital Statistics Reports. Vital and Health Statistics Series. Vital Statistics Rapid Release. Quarterly Provisional Estimates Dashboard. Technical Notes. Other Publications. Citations for NCHS Publications and Electronic Media. Data and Statistics Data Visualization Gallery. FastStats. MMWR QuickStats. Ordering Information Printed Publications. Birth, ...
http://cdc.gov/nchs/data/databriefs/db47.htm
*  Blood Clot Statistics Vary – What to do About it? | Blood Clots
DVT/PE. Women and Blood Clots Part I. Cancer and Blood Clots. Based on National Center for Health Statistics data, blood clots would be ranked either third after cancer, fifth after chronic lower respiratory disease or eighth after flu/pneumonia leading cause of death by disease. Clearly the numbers are all over the place based on different scientific methodologies from which these numbers are derived or perhaps less than scientific assumptions. It is gratifying to see that the Center for Disease Control and Prevention CDC National Center for Birth Defects and Developmental Disabilities NCBDD, Division of Blood Disorders DBD has taken the initiative to pursue a national surveillance system for DVT/PE in the US, with a goal towards definitively documenting the incidence of DVT/PE and defining the risk factors in selected patients groups where current data are very limited. The other good news is that once there is better surveillance data, the case for increased funding support for awareness, outreach, ...
http://stoptheclot.org/article153.htm
*  File:CDC healthcare source adults.png
file cdc healthcare source adults png file cdc healthcare source adults png no usual source of health care among adults years of age by selected characteristics united states average annual selected years through u s department of health and human services center for disease control and prevention national center for health statistics health united states hyattsville md accessed march public and free access
https://en.wikipedia.org/wiki/File:CDC_healthcare_source_adults.png
*  Linked Statistical Data Analysis
Home About CV Library Articles Atom Linked Statistical Data Analysis Authors Sarven Capadisli 1 ✊ Sören Auer 2 ⚛ Reinhard Riedl 3
http://csarven.ca/linked-statistical-data-analysis
*  Health Statistics
... View mobile site. HuffPost's QuickRead... Crime. iOS app Android app. Follow. Politics. Go to Politics. More in Politics. WorldPost. Black Voices. Latino Voices. Gay Voices. Business. Go to Business. More in Business. WorldPost. Tech. Media. Arts. Sports. Weird News. Entertainment. Go to Entertainment. More in Entertainment. TV. Comedy. Arts. Books. Style. Weird News. Tech. When Women Are the Problem for Women in Tech. Go to Tech. More in Tech. Science. Media. Go to Media. More in Media. Entertainment. Oz, Marlo Thomas, Video, Personal Health, Health, Mondays With Marlo, Slideexpand, Sleep Deprivation, Health Statistics, Sleep, MarloThomas News. Healthy Living Read More: Video, Global Health Statistics, Global Health Data, Health Data, Health Statistician, Reuters, Health Statistics, Healthy Living News. * Global health statisticians say good data are hard to find * Best approach is to embrace uncertainty, encourage debate ... Healthy Living Read More: The Annie E Casey Foundation, ...
http://huffingtonpost.com/news/health-statistics/
*  Collection Items: Health Statistics
... Skip to content. Toggle navigation. FALVEY MEMORIAL LIBRARY. VU Home. FALVEY MEMORIAL LIBRARY All Fields Title Author Subject. Find Advanced Search. Falvey Home. . Home Collections. Pennsylvaniana Health Statistics. Cite this. Text this. Email this. Export Record. Export to RefWorks. Export to EndNoteWeb. Export to EndNote. Health Statistics Philadelphia Health Statistics for the years 1976, 1979-1991, 1993-2002. Saved in: Show/hide more info. Collection Items. Context. Year of Publication Clear. Showing 1 - 20 of 23 Items Sort. Sequential Order Title Date Ascending Date Descending Author. 1 Selected resident birth and death data by health district, by census tract, 1979. by Philadelphia Pa. Division of Health Program Analysis. Published 1979 In collection:. Health Statistics. Get full text. View Context. 2 Selected resident birth and death data by health district, by census tract, 1980. by Philadelphia Pa. Division of Health Program Analysis. Published 1980 In collection:. ...
http://digital.library.villanova.edu/Collection/vudl:95720?type=AllFields&filter[]=topic_facet:"Vital Statistics -- epidemiology -- Philadelphia"
*  Summary Health Statistics for the U.S. Adults: National Health Interview Survey, 2007 (PSC Library
Summary Health Statistics for the U.S. Adults: National Health Interview Survey, 2007 PSC Library. Research. Overview. Search Projects. Browse Projects. Projects by Country. PSC Small Funds. People. Search All. U-M Researchers. Off-Campus Researchers. Training Faculty. Postdocs. Predoc Trainees. Staff. Media Contacts. by Discipline. Pubs. Overview. Search All Pubs. Browse All Pubs. Pubs by Country. Browse PSC Reports. PSC Report Series. News Events. Connect with PSC. Brown Bags. PSC in the News. Honors Awards. Features. PSC Videos. Training. Overview. Predoctoral. Postdoctoral. International. Courses. Faculty. Jobs. Placements. On Job Market. Small Funds. Freedman. Hermalin. Mueller. Weinberg. Alumni Award. PSC Initiatives. Data. Overview. Restricted Data. Census. ACS. Geography. Search. Info Services. Catalog. New Acquisitions. Catalog Help. Collections Library Use. Literature Bibliography. Grants Publishing. Tools Resources. Journal Resources. Center Services. About. Center Overview. Giving. ...
http://psc.isr.umich.edu/dis/infoserv/catalog/detail/145465
*  Summary Health Statistics for the U.S. Population: National Health Interview Survey, 2011 (PSC Libr
Summary Health Statistics for the U.S. Population: National Health Interview Survey, 2011 PSC Library. Research. Overview. Search Projects. Browse Projects. Projects by Country. PSC Small Funds. People. Search All. U-M Researchers. Off-Campus Researchers. Training Faculty. Postdocs. Predoc Trainees. Staff. Media Contacts. by Discipline. Pubs. Overview. Search All Pubs. Browse All Pubs. Pubs by Country. Browse PSC Reports. PSC Report Series. News Events. Connect with PSC. Brown Bags. PSC in the News. Honors Awards. Features. PSC Videos. Training. Overview. Predoctoral. Postdoctoral. International. Courses. Faculty. Jobs. Placements. On Job Market. Small Funds. Freedman. Hermalin. Mueller. Weinberg. Alumni Award. PSC Initiatives. Data. Overview. Restricted Data. Census. ACS. Geography. Search. Info Services. Catalog. New Acquisitions. Catalog Help. Collections Library Use. Literature Bibliography. Grants Publishing. Tools Resources. Journal Resources. Center Services. About. Center Overview. Giving. ...
http://psc.isr.umich.edu/dis/infoserv/catalog/detail/149373
*  Data Sources—Centers for Disease Control and Prevention (CDC) | AHRQ Archive
Contact Information Agency home page: http://www.cdc.gov. Data system home page: http://www.cdc.gov/brfss. Department of Health and Human Services, Centers for Disease Control and Prevention CDC, National Center for Health Statistics NCHS. Demographic Data Patient's age, gender, race, ethnicity. Geographic Estimates National, four U.S. Contact Information Agency home page: http://www.cdc.gov/nchs/. Data system home page: http://www.cdc.gov/nchs/about/major/ahcd/ahcd1.htm. Advance Data From Vital and Health Statistics. Hyattsville, MD: NCHS; 2002. Advance Data From Vital and Health Statistics. Hyattsville, MD: NCHS; 2004. National Health and Nutrition Examination Survey NHANES Sponsor U.S. Department of Health and Human Services, Centers for Disease Control and Prevention CDC, National Center for Health Statistics NCHS. Department of Health and Human Services, Centers for Disease Control and Prevention CDC, National Center for Health Statistics NCHS. Data system home ...
http://archive.ahrq.gov/research/findings/nhqrdr/nhqrdr08/datasources/cdc.html
*  National Center for Health Statistics - NCHSCenters for Disease Control and Prevention
National Center for Health Statistics - NCHS Centers for Disease Control and Prevention. Office of Disease Prevention and Health Promotion health.gov. healthfinder.gov. healthypeople.gov. U.S. Department of Health and Human Services. Skip to Content En espa ol. Open Search Search healthfinder.gov:. Find us on:. Get Email Updates. Menu. Home. Health Topics A to Z. myhealthfinder. Shareable Tools. Content Syndication. Developer API. myhealthfinder Tools. Health News. News Archive. Find Services Near You. National Health Observances. Health Care Reform. Adults. Women and Pregnant Women. Children. Related Resources. En español. Home. Find Services Near You. Organizations. Listing. HR0031. National Center for Health Statistics - NCHS Centers for Disease Control and Prevention. Organization URL s www.cdc.gov/nchs/ cdcinfo@cdc.gov Other Contact Information 3311 Toledo Road Hyattsville, MD 20782 1-800-232-4636 Voice - Toll-free 301-458-4000 Voice Description As the Nation's principal health ...
http://healthfinder.gov/FindServices/Organizations/Organization/HR0031/national-center-for-health-statistics---nchsbrcenters-for-disease-control-and-prevention
*  Infectious Disease National Centers | OID | CDC
Infectious Disease National Centers. CDC. Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. Search The CDC. Office of Infectious Diseases. CDC's Infectious Disease National Centers. National Center for Emerging and Zoonotic Infectious Diseases NCEZID NCEZID aims to prevent disease, disability, and death caused by a wide range of infectious diseases. The center focuses on diseases that have been around for many years, emerging diseases those that are new or recently identified , and zoonotic diseases those spread from animals to people. About the Director of NCEZID. NCEZID Website National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention NCHHSTP NCHHSTP maximizes public health and safety nationally and internationally through the elimination, prevention, and control of disease, disability, and death caused by human immunodeficiency virus infection/acquired immunodeficiency syndrome, non-HIV retroviruses, ...
http://cdc.gov/oid/centers.html
*  Retired: National Center for Infectious Diseases, Home Page
retired national center for infectious diseases home page welcome to the cdc web site skip directly to the search box site navigation or content primary navigation for the cdc website home about cdc press room a z index contact us department of health and human services centers for disease control and prevention cdc en español search go button notice ncid website has been retired the national center for infectious diseases ncid has been officially reorganized its former divisions and programs have been realigned into multiple national centers as a result the website of the former ncid has been retired for infectious disease health topic information please consult the cdc diseases and conditions a z index for information about the new centers please visit their cdc websites national center for emerging and zoonotic infectious diseases ncezid national center for immunization and respiratory diseases ncird national center for hiv aids viral hepatitis std and tb prevention nchhstp portions of the old ncid ...
http://cdc.gov/ncidod/index.htm
*  Center for Health Statistics - NJ Health Statistics, 1996: Mortality
...
http://nj.gov/health/chs/stats96/mort13.htm
*  Center for Health Statistics - NJ Health Statistics 1996: Mortality
center for health statistics nj health statistics mortality
http://state.nj.us/health/chs/stats96/mort19b.htm
*  Center for Health Statistics - NJ Health Statistics, 1996: Morbidity
center for health statistics nj health statistics morbidity
http://nj.gov/health/chs/stats96/morb4.htm
*  Advance Data from Vital and Health Statistics
... redirect centers for disease control and prevention
https://en.wikipedia.org/wiki/Advance_Data_from_Vital_and_Health_Statistics
*  Referral Page - FASTSTATS - Leading Causes of Death
referral page faststats leading causes of death skip directly to local search skip directly to a to z list skip directly to navigation skip directly to site content skip directly to page options cdc home cdc saving lives protecting people search the cdc note javascript is disabled or is not supported by your browser for this reason some items on this page will be unavailable for more information about this message please visit this page about cdc gov national center for health statistics faststats homepage state and territorial data nchs home this page has been relocated in a second you will be redirected to the following location faststats leading causes of death print page contact us national center for health statistics toledo rd hyattsville md cdcinfo cdc gov file formats help how do i view different file formats pdf doc ppt mpeg on this site print content source cdc national center for health statistics page maintained by office of information services home a z index policies using ...
http://cdc.gov/nchs/fastats/lcod.htm
*  Referral Page - FASTSTATS - Leading Causes of Death
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. National Center for Health Statistics. FastStats Homepage State and Territorial Data. NCHS Home. This Page Has Been Relocated In a second, you will be redirected to the following location: FastStats - Leading Causes of Death. Print page. Contact Us: National Center for Health Statistics 3311 Toledo Rd Hyattsville, MD 20782 1 800 232-4636. cdcinfo@cdc.gov. File Formats Help: How do I view different file formats PDF, DOC, PPT, MPEG on this site. Print. Content source: CDC/National Center for Health Statistics Page maintained by: Office of Information Services. Home. ...
http://cdc.gov/nchs/fastats/lcod.htm/
*  Referral Page - FASTSTATS - Hepatitis
referral page faststats hepatitis skip directly to local search skip directly to a to z list skip directly to navigation skip directly to site content skip directly to page options cdc home cdc saving lives protecting people search the cdc note javascript is disabled or is not supported by your browser for this reason some items on this page will be unavailable for more information about this message please visit this page about cdc gov national center for health statistics faststats homepage state and territorial data nchs home this page has been relocated in a second you will be redirected to the following location faststats hepatitis print page contact us national center for health statistics toledo rd hyattsville md cdcinfo cdc gov file formats help how do i view different file formats pdf doc ppt mpeg on this site print content source cdc national center for health statistics page maintained by office of information services home a z index policies using this site link to us contact ...
http://cdc.gov/nchs/fastats/hepatits.htm
*  Referral Page - FASTSTATS - State and Territorial Data
referral page faststats state and territorial data skip directly to local search skip directly to a to z list skip directly to navigation skip directly to site content skip directly to page options cdc home cdc saving lives protecting people search the cdc note javascript is disabled or is not supported by your browser for this reason some items on this page will be unavailable for more information about this message please visit this page about cdc gov national center for health statistics faststats homepage state and territorial data nchs home this page has been relocated in a second you will be redirected to the following location faststats state and territorial data print page contact us national center for health statistics toledo rd hyattsville md cdcinfo cdc gov file formats help how do i view different file formats pdf doc ppt mpeg on this site print content source cdc national center for health statistics page maintained by office of information services home a z index policies ...
http://cdc.gov/nchs/fastats/popup_oh.htm
*  Referral Page - FASTSTATS - State and Territorial Data
... Skip directly to local search Skip directly to A to Z list Skip directly to navigation Skip directly to site content Skip directly to page options. CDC Home CDC 24/7: Saving Lives. Protecting People. Search The CDC. Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov. National Center for Health Statistics. FastStats Homepage State and Territorial Data. NCHS Home. This Page Has Been Relocated In a second, you will be redirected to the following location: FastStats - State and Territorial Data. Print page. Contact Us: National Center for Health Statistics 3311 Toledo Rd Hyattsville, MD 20782 1 800 232-4636. cdcinfo@cdc.gov. File Formats Help: How do I view different file formats PDF, DOC, PPT, MPEG on this site. Print. Content source: CDC/National Center for Health Statistics Page maintained by: Office of Information Services. Home. ...
http://cdc.gov/nchs/fastats/map_page.htm
*  National Centers for Disease Control
... redirect centers for disease control and prevention
https://en.wikipedia.org/wiki/National_Centers_for_Disease_Control
*  National Center for Infectious Diseases
... redirect centers for disease control and prevention category centers for disease control and prevention
https://en.wikipedia.org/wiki/National_Center_for_Infectious_Diseases
*  NCIRD
... redirect national center for immunization and respiratory diseases
https://en.wikipedia.org/wiki/NCIRD
*  Inverse probability weighting
... is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected study designs with a disparate sampling population and population of target inference target population are common in application there may be prohibitive factors barring researchers from directly sampling from the target population such as cost time or ethical concerns a solution to this problem is to use an alternate design strategy e g stratified sampling weighting when correctly applied can potentially improve the efficiency and reduce the bias of unweighted estimators one very early weighted estimator is the horvitz thompson estimator of the mean when the sampling probability is known from which the sampling population is drawn from the target population then the inverse of this probability is used to weight the observations this approach has been generalized to many aspects of statistics under various frameworks in particular there are weighted ...
https://en.wikipedia.org/wiki/Inverse_probability_weighting
*  Model selection criterion for causal parameters in structural mean models based on a quasi-likelihoo
... d - Taguri - 2014 - Biometrics - Wiley Online Library. Vol 70 Issue 3. JOURNAL TOOLS Get New Content Alerts. JOURNAL MENU Journal Home FIND ISSUES Current Issue. All Issues FIND ARTICLES Early View. BIOMETRIC PRACTICE Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood. Masataka Taguri 1,*, Yutaka Matsuyama 2 and Yasuo Ohashi 2 Article first published online: 12 MAR 2014 DOI: 10.1111/biom.12165 2014, The International Biometric Society. Issue. Biometrics Volume 70, Issue 3, pages 721 730, September 2014. Additional Information How to Cite Taguri, M., Matsuyama, Y. and Ohashi, Y. 2014, Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood. Author Information 1 Department of Biostatistics and Epidemiology, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan 2 Department of Biostatistics, School of Public Health, Graduate School of ...
http://onlinelibrary.wiley.com/doi/10.1111/biom.12165/citedby
*  Latent class model
In statistics, a 'latent class model LCM ' relates a set of observed usually discrete multivariate variables to a set of latent variable s. It is called a latent class model because the latent variable is discrete. 'Latent Class Analysis LCA ' is a subset of structural equation modeling, used to find groups or subtypes of cases in multivariate categorical data. The LCA will attempt to detect the presence of latent classes the disease entities, creating patterns of association in the symptoms. Because the criterion for solving the LCA is to achieve latent classes within which there is no longer any association of one symptom with another because the class is the disease which causes their association, and the set of diseases a patient has or class a case is a member of causes the symptom association, the symptoms will be "conditionally independent", i.e., conditional on class membership, they are no longer related. Related methods Application External links References. Multivariate mixture estimation ...
https://en.wikipedia.org/wiki/Latent_class_model
*  statistical prediction | plus.maths.org
statistical prediction. plus.maths.org. Skip to Navigation. about Plus Plus sponsors subscribe to Plus terms of use. Search this site:. Home Articles News Packages Podcasts Puzzles Reviews Ebooks Login. View menu View searchbox. statistical prediction. Predicting the final Olympic medal count is a black art. So without further ado, here is our predicted 2012 London Olympic medal count. Read more... Understanding uncertainty: How long will you live. Well, no-one knows exactly, but using stats you can make a good guess. Do you dare to find out. Read more... Understanding uncertainty: The Premier League. This is the second part of our new column on risk and uncertainty. David Spiegelhalter, Winton Professor for the Public Understanding of Risk at the University of Cambridge, continues examining league tables using the Premier League as an example. Find out just how much or how little these simple rankings can tell you. Read more... Understanding uncertainty: A league table lottery. League tables are ...
https://plus.maths.org/content/taxonomy/term/586
*  A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse
... In this paper, a new method is developed for analyzing categorical data with nonresponse when there is uncertainty about ignorability, which incorporates the idea that there are many a priori plausible ignorable and nonignorable nonresponse models. HTML HTML with abstract plain text plain text with abstract BibTeX RIS EndNote, RefMan, ProCite ReDIF JSON in new window. Keywords: Missing data ; Nonignorable nonresponse ; Bayesian model averaging ; Census coverage ; Census enumerations ; Credible intervals ;. References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: as HTML HTML with abstract plain text plain text with abstract BibTeX RIS EndNote, RefMan, ProCite ReDIF JSON in new window Nandram B. " Hierarchical Bayesian Nonresponse Models for Binary Data From Small Areas With Uncertainty About Ignorability ," Journal of the ...
https://ideas.repec.org/a/eee/csdana/v57y2013i1p600-614.html
*  probability - How to show that these random variables are pairwise independent? - Mathematics Stack
probability - How to show that these random variables are pairwise independent. - Mathematics Stack Exchange. more stack exchange communities. Stack Exchange. Mathematics Questions. How to show that these random variables are pairwise independent. Given the arrays $C= $ and $S= $ of lengths $N$ with elements that are discrete iid uniform distributed with equal probability p=1/2 of being $\pm$ 1 Consider the random variables for a given $l, n, m$ : $W=C_lC_mC_n$ $X=S_lS_mC_n$ $Y=C_lS_mS_n$ $Z=S_lC_mS_n$ It can be shown that these random variables $W, X, Y, Z$ are zero mean, uniform distributed with equal probability p=1/2 of being $\pm$ 1. Now how can one go about showing that the random variables $W, X, Y, Z$ are pairwise independent. 8 For Bernoulli variables, non-correlation implies independence. More is true: any three random variables amongst W, X, Y and Z are independent while W,X,Y,Z is not since, for example, WXYZ=+1 with probability 1. That is, for Bernoulli variables non-correlation implies ...
http://math.stackexchange.com/questions/205597/how-to-show-that-these-random-variables-are-pairwise-independent
*  estimating K and Lambda from an extreme value distribution
... Kevin Karplus karplus at cheep.cse.ucsc.edu. Tue Feb 24 12:18:10 EST 2004. Previous message: estimating K and Lambda from an extreme value distribution Next message: estimating K and Lambda from an extreme value distribution Messages sorted by:. In article gi4qtl7tg2.fsf at pusch.xnet.com, Gordon D. Pusch wrote: ranjeeva r at yahoo.com Ranjeeva writes: I'm trying to fit a set of scores I get from searching a database of 1000 amino acid sequences with a HMM. I want to calculate a p-value for each matching score. My questions are a How do you estimate the scalling factors K and Lambda to fit my scores 1000 to an extreme value distribution. The obvious question would be: Why would you bother, since an HMM directly yields a generative probability estimate. Simply compare the HMM probability estimate to that of a fiducial model, e.g., the random sequence model. However, if you insist on ab using extreme-value theory for this problem, googling on the exact phrase extreme value distribution plus fitting ...
http://bio.net/bionet/mm/comp-bio/2004-February/002705.html
*  Dose-response modeling using linear Splines
... Universit t Duisburg-Essen DuEPublico Dose-response modeling using linear Splines. In den Korb E-Mail senden Statistik Dose-response modeling using linear Splines Dr. Dateibereich 19740 Text anzeigen PDF Download als ZIP-Datei 1,64 MB in einer Datei, zuletzt ge ndert am 14.04.2008 Dateiliste / Details. Datei Dateien ge ndert am Gr e Doktorarbeit Martin Kappler.pdf 14.04.2008 14:38:41 1,64 MB. Dateibereich 19741 Text anzeigen PDF Download als ZIP-Datei 106 KB in 2 Dateien, zuletzt ge ndert am 14.04.2008 Dateiliste / Details. Datei Dateien ge ndert am Gr e Abstrakt deutsch.pdf 14.04.2008 14:39:04 53,1 KB. The aim of this work is to examine linear splines for modeling dose-response relations in comparison to these standard methods, as well as to the more complex techniques of fractional polynomials and additive models. In this context, the dose-response relation between exposure to phenanthrene and excretion of the urinary metabolites 1-, 2-+9-, 3- and 4-OH-phenanthrene is analyzed. Linear Splines, ...
http://duepublico.uni-duisburg-essen.de/servlets/DocumentServlet?id=18095
*  statistics - covariance matrix for normal - Mathematics Stack Exchange
... chat blog. Mathematics Meta. more stack exchange communities. Stack Exchange. sign up log in tour. Help Center Detailed answers to any questions you might have. Mathematics Questions. Sign up. Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. covariance matrix for normal. An iid random sample of 4 is taken from a normal distribution with mean 2 and variance 3. What is the covariance matrix. What is the matrix of mew. If they are not iid, then how would the covariance matrix differ. My solution: If it is iid, the matrix is simply a diagonal matrix with 3 as its entries The mean matrix is just a row matrix with entries 2 If it is not iid, the matrix has diagonals of 3 and non-diagonal entries I am not sure of... Please let me know if my solution is correct and how to find the matrix if they are not iid. statistics share. asked Mar 20 '12 at 21:45. If they are not independent but each individually still has this same ...
http://math.stackexchange.com/questions/122663/covariance-matrix-for-normal
*  .. Time Series MT .. Time Series MT 2.1
time series mt time series mt times series mt provides for comprehensive treatment of time series models including model diagnostics mle estimation and forecasts time series mt tools covers panel series models including random effects and fixed effects while allowing for unbalanced panels features new estimate models with multiple structural breaks new estimate threshold autoregressive models new rolling and recursive ols estimation least squares dummy variable model for multivariate data with bias correction of the parameters hamiltonâ s regime switching regression model seasonal varmax models time series cross sectional regression models weighted maximum likelihood thread safe arima model estimation and forecasts exact full information maximum likelihood estimation of varmax varma arimax and ecm models standard time series diagnostic tests including unit root tests cointegration tests and lag selection tests examples structural break model click here threshold ...
http://aptech.com/products/gauss-applications/time-series-mt/
*  Confidence interval of lifetime distribution using bootstrap method | QUT ePrints
Confidence interval of lifetime distribution using bootstrap method. Confidence interval of lifetime distribution using bootstrap method. Zhou, Yifan 2008 Confidence interval of lifetime distribution using bootstrap method. Abstract Lifetime estimation is significant in engineering asset management. For the Gamma process, which is a commonly used method for lifetime estimation, the conventional confidence interval construction methods do not perform well. This paper adopts bootstrap methods to build confidence intervals of lifetime distribution when the Gamma process is used. Moreover, bootstrap calibration is conducted to assess the coverage probability of the confidence intervals built by these bootstrap methods. The results show that the BCa method is recommended for generating confidence intervals for Gamma processes in this application. Web of Science® citation databases. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards. Citations counts ...
http://eprints.qut.edu.au/17637/
*  Orthogonal polynomials
The most widely used orthogonal polynomials are the classical orthogonal polynomials, consisting of the Hermite polynomials, the Laguerre polynomials, the Jacobi polynomials together with their special cases the Gegenbauer polynomials, the Chebyshev polynomials, and the Legendre polynomials. Examples of orthogonal polynomials Properties Relation to moments. Then the inner product is given by : \langle f, g \rangle = \int {x 1} {x 2} f x g x W x \; dx. The classical orthogonal polynomials Jacobi polynomials, Laguerre polynomials, Hermite polynomials, and their special cases Gegenbauer polynomials, Chebyshev polynomials and Legendre polynomials. They include many orthogonal polynomials as special cases, such as the Meixner–Pollaczek polynomials, the continuous Hahn polynomials, the continuous dual Hahn polynomials, and the classical polynomials, described by the Askey scheme The Askey–Wilson polynomials introduce an extra parameter 'q' into the Wilson polynomials. Discrete orthogonal polynomials are orthogonal ...
https://en.wikipedia.org/wiki/Orthogonal_polynomials
*  ExploringDataBlog: March 2011
I discussed this data example in my first couple of boxplot posts and I think this is a case where the beeswarm plot gives you a more useful picture of how the data points are distributed than the boxplots do. The figure below shows a normal Q-Q plot for the number of traffic deaths per 10,000 drivers generated using the qqPlot package. The upper left plot shows the results obtained for the exponential distribution which, like the Gaussian distribution, does not require the specification of a shape parameter. The exponential distribution represents a special case of the gamma distribution, with a shape parameter equal to 1. Alternatively, the Weibull distribution which also includes the exponential distribution as a special case might describe these data values better than any member of the gamma distribution family, and these plots can also be easily generated using the qqPlot command just specify dist = weibull instead of dist = gamma, along with shape = a for some positive value of a other than 1. ...
http://exploringdatablog.blogspot.co.uk/2011_03_01_archive.html
*  Professor Peter Congdon
... The School of Geography. Prospective Students. Research. People. News. Events. About us. Contact. . People menu Home / People / Academic Staff Academic Staff. Research Staff. Support Staff. Emeritus Staff. PhD Students. Visiting and Honorary Staff. Professor Peter Congdon Research Professor in Quantitative Geography and Health Statistics email: p.congdon@qmul.ac.uk Tel: 020 7882 2778 Location: Geography building, Room 204 Profile. Teaching. Research. Publications. PhD Supervision. Public engagement. Profile. I am a quantitative geographer with particular interests in geographic epidemiology, application of spatial statistical methods to area health and health survey data, and spatial demography. Since 2001 I have been a Research Professor in the School of Geography, and am also affiliated to the QMUL Life Sciences Institute. I have authored a range of articles and books, including ‘Applied Bayesian Hierarchical Methods’ CRC, 2010 and ‘Bayesian Statistical Modelling’ Wiley, 2006. My major projects ...
http://geog.qmul.ac.uk/staff/congdonp.html
*  La stabilité politique, une condition nécessaire mais pas suffisante pour attirer les firmes multi
HTML HTML with abstract plain text plain text with abstract BibTeX RIS EndNote, RefMan, ProCite ReDIF JSON in new window. C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models. C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models. F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements. F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business. References listed on IDEAS Please report citation or reference errors to, or, if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make ...
https://ideas.repec.org/a/rej/journl/v11y2008i27p67-81.html
*  Two random variables equal in distribution?
and with the same expectation vector November 7th 2009, 01:28 PM matheagle X1,X2,X3 and Y1,Y2,Y3 would have to have the same joint distribution. : November 7th 2009, 03:11 PM Laurent Quote: Originally Posted by kingwinner. November 15th 2009, 05:56 PM kingwinner Quote: Originally Posted by Laurent. November 16th 2009, 03:09 AM Laurent Quote: Originally Posted by kingwinner. November 17th 2009, 09:02 AM kingwinner Quote: Originally Posted by Laurent. : November 17th 2009, 03:09 PM Laurent Quote: Originally Posted by kingwinner. So, at least, when you know the joint distribution of X,Y , you know the distributions of X and Y. So the joint distribution tells you if X and Y are independent. You can think of hot spots or peaks where the measure gives more probability, and it gets colder and colder at infinity nearer to 0. Then for instance you may have some very hot spot near 1,2 , which means that. has high probability to be near that point, i.e. with high probability X is near 1 and at the same time Y is near ...
http://mathhelpforum.com/advanced-statistics/107711-two-random-variables-equal-distribution-print.html
*  Multinomial probit
As such, it is an alternative to the multinomial logit model as one method of multiclass classification. It is assumed that we have a series of observations 'Y' 'i', for 'i' = 1...'n', of the outcomes of multi-way choices from a categorical distribution of size 'm' there are 'm' possible choices. Along with each observation 'Y' 'i' is a set of 'k' observed values 'x' '1,i', ..., 'x' 'k,i' of explanatory variables also known as independent variable s, predictor variables, features, etc. The observed outcomes might be "has disease A, has disease B, has disease C, has none of the diseases" for a set of rare diseases with similar symptoms, and the explanatory variables might be characteristics of the patients thought to be pertinent sex, race, age, blood pressure, body-mass index, presence or absence of various symptoms, etc. sex, race, age, income, etc. The multinomial probit model is a statistical model that can be used to predict the likely outcome of an unobserved multi-way trial given the associated ...
https://en.wikipedia.org/wiki/Multinomial_probit
*  15 bottles alcohols 3d model
bottles alcohols d model stock images new empty login join bottles by vizionair add to cart royalty free license faq all extended uses included formats ds max default scanline d model specifications product id published jan geometry polygonal polygons vertices textures yes materials yes rigged no animated no uv mapped yes unwrapped uvs unknown artist vizionair turbosquid member since january currently sells products achievements live chat now quality guarantee file format conversions report
http://turbosquid.com/3d-models/15-bottles-alcohols-3d-model/221668
*  www.malariajournal.com - Figure
www malariajournal com figure resolution standard high figure theory predicts that the slope of pfpr in young children i e b and the pfpr in older children i e the plateau p should be correlated the best fit parameters describing these two quantities are plotted here two extreme values were excluded from this plot there was no correlation with p or without p the extreme values smith et al malaria journal doi download authors original image
http://malariajournal.com/content/6/1/131/figure/F3
*  Re: st: Need help on variance estimation using replication methods while
... incorporating raking. Re: st: Need help on variance estimation using replication methods while incorporating raking. On Tue, Nov 22, 2011 at 4:53 PM, Bilal Khan sbhk597@yahoo.com wrote: I  have a multistage or complex survey data which I raked using some auxiliary variables like previous votes in different elections highly correlated with output variables. However, this would not incorporate raking into design which perhaps may lower the sampling error. I do have the commands to do so in stata but I am not sure how to create replicate weights before using replication methods for survey variance estimates. Can anyone suggest an easy way to create replication weights and incorporate replicated weight; especially bootstrap in variance estimation. To Steve: my understanding is that calibration, such as raking, does reduce variances for a well-designed survey with no non-response, when all of the survey error is the sampling error. Calibration then reduces the sampling error of descriptive summaries of ...
http://stata.com/statalist/archive/2011-11/msg01125.html
*  Mplus Discussion >> Data with structural missingness
Mplus Discussion Data with structural missingness. Mplus Home. Topics Last Day Last 3 Days Last Week Tree View. Edit Profile. Search Help. Data with structural missingness. Mplus Discussion Missing Data Modeling. Message/Author. Andrew Mackinnon posted on Tuesday, June 05, 2001 - 2:39 am. I'm just getting familiar with the capabilities of Mplus and am seeking comments about a particular type of problem I have encountered doing structural analyses of psychiatric symptom data with missing items. It arises from the use of algorithmic methods for determining diagnoses (usually to DSM criteria). Only the minimum number of questions is asked to arrive at or rule out a positive diagnosis for a particular disorder For instance, for DSM Major Depressive Episode, positive cases must have one of "depress mood" or "loss of interest or pleasure" symptoms plus at least three others. Inquiry stops with negative responses to both the first items. If positive to either or both gatekeeper ...
http://statmodel.com/cgi-bin/discus/discus.cgi?pg=prev&topic=22&page=147
*  .. Precision 3D to Provide Data Interpretation Training
the magic school bus and lidar autodesk acquires allpoint systems precision d to provide data interpretation training posted on january by lidar lidar news columnist ken smerz and his firm precision d will be sponsoring a comprehensive laser scanning and interpretation training session for arizona police agencies next wednesday february th at their new phoenix d modeling center the drive behind the training came from the realization that many law enforcement agencies want to integrate lidar technology into their scene analysis but sometimes struggle to provide a useable end product and in a quick time frame ted mort of precision d commented â itâ s like they have a ferrari sitting in the driveway and they donâ t know how to drive it fast we will provide state of the industry training to assist in crime and or accident scene analysis which can ultimately save these agencies hundreds of thousands of dollars annually â   this entry was posted in education ...
http://blog.lidarnews.com/precision-3d-to-provide-data-interpretation-training/
*  Intersession
... Skip Navigation OU Homepage. Search OU. OU Social Media. The University of Oklahoma. Intersession Home. December Session. August Session. Enroll/Add/Drop. Contact Us. How to Enroll Ozone Desire 2 Learn Back to OU Outreach Home. LOOKING FOR A CHALLENGE A WAY TO EARN CREDIT HOURS. Through Intersession, University Outreach offers a convenient way to obtain college credit through a variety of courses spanning a three to four week period. Our courses compress 16 week courses into a shorter time frame. These intensive, accelerated courses are offered two times per year: December and August. December counts towards Flat-rate tuition August can be used with your banked hours. SAME COST, SAME CLASSES, LESS TIME. Meeting the requirements of Flat Rate Tuition in the Fall OR Using Your Banked Hours In Summer Please contact the Bursar's Office for details. Gaining credit hours to balance your semester work load Free up the majority of your summer for an internship, working or studying abroad. REGISTRATION FOR AUGUST ...
http://ou.edu/outreach/intersession
*  Generalizability theory
... It is used to determine the reliability i.e., reproducibility of measurements under specific conditions. Facets are similar to the “factors” used in analysis of variance, and may include persons, raters, items/forms, time, and settings among other possibilities. These facets are potential sources of error and the purpose of generalizability theory is to quantify the amount of error caused by each facet and interaction of facets. From one rater to a larger number of raters. In most cases, the object of measurement will be the person to whom a number/score is assigned. By employing simulated D studies, it is therefore possible to examine how the generalizability coefficients similar to reliability coefficients in Classical test theory would change under different circumstances, and consequently determine the ideal conditions under which our measurements would be the most reliable. The focus of classical test theory CTT is on determining error of the measurement. Although 'e' could represent many different ...
https://en.wikipedia.org/wiki/Generalizability_theory
*  Gauge Repeatability and Reproducibility Study on a Hemi-shell with a Brown & Sharpe® Coordinate Mea
Gauge Repeatability and Reproducibility Study on a Hemi-shell with a Brown Sharpe Coordinate Measuring Machine U. View Item. LoboVault Home. Engineering. Mechanical Engineering. Mechanical Engineering Technical Reports. View Item. LoboVault Home. Engineering. Mechanical Engineering. Mechanical Engineering Technical Reports View Item. Gauge Repeatability and Reproducibility Study on a Hemi-shell with a Brown Sharpe Coordinate Measuring Machine U. dc.date.available 2011-08-01T20:19:55Z. dc.description.abstract In engineering at LANL, everything relies on the quality of a product or process. Currently LANL s main processes for dimensional inspection on hemi-shells are conducted on uniquely designed machines - Sheffield or Shell Measuring Machine SMM. Coordinate Measuring Machines CMM are a staple in the manufacturing engineering realm at LANL. A Gauge Repeatability and Reproducibility GR R study is utilized to ensure that the PMM-C LANL currently has in production is measuring correctly by utilizing measured ...
https://repository.unm.edu/handle/1928/12926?show=full
*  Mplus Discussion >> Modeling unreliability of a categorical predictor
Mplus Discussion Modeling unreliability of a categorical predictor. Mplus Home. Topics Last Day Last 3 Days Last Week Tree View. Edit Profile. Search Help. Modeling unreliability of a categoric... Mplus Discussion Categorical Data Modeling. Message/Author. Jim Prisciandaro posted on Wednesday, July 20, 2005 - 2:35 am. Hello, I am interested in testing the predictive ability of a categorical diagnosis (i.e., 0 = doesn't have disorder, 1 = has disorder). I would like to incorporate the unreliability of the diagnosis (e.g., inter-rater reliability) into my model. How would I attempt such a thing. Thanks, Jim. Jim Prisciandaro posted on Wednesday, July 20, 2005 - 3:38 am. Almost forgot, let's say that my estimate of the diagnostic category's reliability is in the form of kappa (because that's probably what's available in the literature). Jim. bmuthen posted on Wednesday, July 20, 2005 - 1:34 pm. That's a tricky one. You could try to work with a binary latent class ...
http://statmodel.com/cgi-bin/discus/discus.cgi?pg=prev&topic=23&page=748
*  SwePub - sökning: WFRF:(Höpfner M.)
Its two instruments measure vertical profiles of over 30 atmospheric trace gases by analyzing solar occultation spectra in the ultraviolet/visible and infrared wavelength regions. Overall the quality of the ACE-FTS v2.2 HNO3 VMR profiles is good from 18 to 35 km. For the statistical satellite comparisons, the mean absolute differences are generally within 1 ppbv 20% from 18 to 35 km. For MIPAS and MLS comparisons only, mean relative differences lie within 10% between 10 and 36 km. Mean absolute differences are typically within 0.01 ppbv between 16 and 27 km and less than +0.09 ppbv between 27 and 34 km. Good agreement was found for the comparisons with the midlatitude Jungfraujoch partial columns for which the mean relative difference is 4.7%. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloon-borne, aircraft, and ground-based instruments. Between 6 and 30 km, the mean absolute differences for the ...
http://swepub.kb.se/hitlist?q=WFRF:(Höpfner M.)&r=;pers:(Höpfner M.);pers:(Kuttippurath J.);pers:(Piccolo C.);pers:(Walker K. A.);pers:(Jones N.);spr:eng&f=&g=&m=10&p=1&d=swepub&s=r&t=v
*  SwePub - sökning: WFRF:(Höpfner M.)
Its two instruments measure vertical profiles of over 30 atmospheric trace gases by analyzing solar occultation spectra in the ultraviolet/visible and infrared wavelength regions. Overall the quality of the ACE-FTS v2.2 HNO3 VMR profiles is good from 18 to 35 km. For the statistical satellite comparisons, the mean absolute differences are generally within 1 ppbv 20% from 18 to 35 km. For MIPAS and MLS comparisons only, mean relative differences lie within 10% between 10 and 36 km. Mean absolute differences are typically within 0.01 ppbv between 16 and 27 km and less than +0.09 ppbv between 27 and 34 km. Good agreement was found for the comparisons with the midlatitude Jungfraujoch partial columns for which the mean relative difference is 4.7%. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloon-borne, aircraft, and ground-based instruments. Between 6 and 30 km, the mean absolute differences for the ...
http://swepub.kb.se/hitlist?q=WFRF:(Höpfner M.)&r=;pers:(Höpfner M.);pers:(Piccolo C.);pers:(Bernath P. F.);pers:(De Maziere M.);spr:eng;pers:(Duchatelet P.);pers:(Murtagh Donal P. 1959);pers:(Senten C.)&p=1&f=&g=&s=r&t=v&m=10&d=swepub
*  SwePub - sökning: WFRF:(Höpfner M.)
Its two instruments measure vertical profiles of over 30 atmospheric trace gases by analyzing solar occultation spectra in the ultraviolet/visible and infrared wavelength regions. Overall the quality of the ACE-FTS v2.2 HNO3 VMR profiles is good from 18 to 35 km. For the statistical satellite comparisons, the mean absolute differences are generally within 1 ppbv 20% from 18 to 35 km. For MIPAS and MLS comparisons only, mean relative differences lie within 10% between 10 and 36 km. Mean absolute differences are typically within 0.01 ppbv between 16 and 27 km and less than +0.09 ppbv between 27 and 34 km. Good agreement was found for the comparisons with the midlatitude Jungfraujoch partial columns for which the mean relative difference is 4.7%. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloon-borne, aircraft, and ground-based instruments. Between 6 and 30 km, the mean absolute differences for the ...
http://swepub.kb.se/hitlist?q=WFRF:(Höpfner M.)&r=;pers:(Höpfner M.);pers:(Piccolo C.);pers:(Kuttippurath J.);spr:eng;pers:(Senten C.);pers:(Dupuy E.);pers:(Mikuteit S.);pers:(Coffey M.)&p=1&f=&g=&s=r&t=v&m=10&d=swepub
*  SwePub - sökning: WFRF:(Höpfner M.)
Its two instruments measure vertical profiles of over 30 atmospheric trace gases by analyzing solar occultation spectra in the ultraviolet/visible and infrared wavelength regions. Overall the quality of the ACE-FTS v2.2 HNO3 VMR profiles is good from 18 to 35 km. For the statistical satellite comparisons, the mean absolute differences are generally within 1 ppbv 20% from 18 to 35 km. For MIPAS and MLS comparisons only, mean relative differences lie within 10% between 10 and 36 km. Mean absolute differences are typically within 0.01 ppbv between 16 and 27 km and less than +0.09 ppbv between 27 and 34 km. Good agreement was found for the comparisons with the midlatitude Jungfraujoch partial columns for which the mean relative difference is 4.7%. In this study, the quality of the ACE-FTS version 2.2 N2O data is assessed through comparisons with coincident measurements made by other satellite, balloon-borne, aircraft, and ground-based instruments. Between 6 and 30 km, the mean absolute differences for the ...
http://swepub.kb.se/hitlist?q=WFRF:(Höpfner M.)&r=;pers:(Piccolo C.);pers:(Bernath P. F.);pers:(Wolff M.A.);pers:(Tétard C.);spr:eng;pers:(Glatthor N.)&p=1&f=&g=&s=r&t=v&m=10&d=swepub

Regularized canonical correlation analysis: Regularized canonical correlation analysis is a way of using ridge regression to solve the singularity problem in the cross-covariance matrices of canonical correlation analysis. By converting \operatorname{cov}(X, X) and \operatorname{cov}(Y, Y) into \operatorname{cov}(X, X) + \lambda I_X and \operatorname{cov}(Y, Y) + \lambda I_Y, it ensures that the above matrices will have reliable inverses.Vital statistics (government records): Vital statistics are statistics on live births, deaths, fetal deaths, marriages and divorces. The most common way of collecting information on these events is through civil registration, an administrative system used by governments to record vital events which occur in their populations (see Box 1).Inverse probability weighting: Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application.Generalizability theory: Generalizability theory, or G Theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.Clonal Selection Algorithm: In artificial immune systems, Clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation.Interval boundary element method: Interval boundary element method is classical boundary element method with the interval parameters.
List of Parliamentary constituencies in Kent: The ceremonial county of Kent,Certificate of relief from disabilities: A Certificate of relief from disabilities is issued by a state of the United States of America to a person who has committed a felony or misdemeanor but has subsequently shown that he or she has been rehabilitated. The closely related "Certificate of good conduct" is given to a person who has committed two or more felonies and has demonstrated rehabilitation.Geographical cluster: A geographical cluster is a localised anomaly, usually an excess of something given the distribution or variation of something else. Often it is considered as an incidence rate that is unusual in that there is more of some variable than might be expected.Mac OS X Server 1.0Mortality rate: Mortality rate, or death rate, is a measure of the number of deaths (in general, or due to a specific cause) in a particular population, scaled to the size of that population, per unit of time. Mortality rate is typically expressed in units of deaths per 1,000 individuals per year; thus, a mortality rate of 9.Decoding methods: In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords.A-scan ultrasound biometry: A-scan ultrasound biometry, commonly referred to as an A-scan, is routine type of diagnostic test used in ophthalmology. The A-scan provides data on the length of the eye, which is a major determinant in common sight disorders.Monte Carlo methods for option pricing: In mathematical finance, a Monte Carlo option model uses Monte Carlo methods Although the term 'Monte Carlo method' was coined by Stanislaw Ulam in the 1940s, some trace such methods to the 18th century French naturalist Buffon, and a question he asked about the results of dropping a needle randomly on a striped floor or table. See Buffon's needle.Biostatistics (journal): Biostatistics is a peer-reviewed scientific journal covering biostatistics, that is, statistics for biological and medical research. The journals that had cited Biostatistics the most by 2008Journal Citation Reports 2008, Science Edition were Biometrics, Journal of the American Statistical Association, Biometrika, Statistics in Medicine, and Journal of the Royal Statistical Society, Series B.Negative probability: The probability of the outcome of an experiment is never negative, but quasiprobability distributions can be defined that allow a negative probability for some events. These distributions may apply to unobservable events or conditional probabilities.Assay sensitivity: Assay sensitivity is a property of a clinical trial defined as the ability of a trial to distinguish an effective treatment from a less effective or ineffective intervention. Without assay sensitivity, a trial is not internally valid and is not capable of comparing the efficacy of two interventions.Closed-ended question: A closed-ended question is a question format that limits respondents with a list of answer choices from which they must choose to answer the question.Dillman D.Hyperparameter: In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis.QRISK: QRISK2 (the most recent version of QRISK) is a prediction algorithm for cardiovascular disease (CVD) that uses traditional risk factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial fibrillation, diabetes mellitus, and antihypertensive treatment.Red Moss, Greater Manchester: Red Moss is a wetland mossland in Greater Manchester, located south of Horwich and east of Blackrod. (Grid Reference ).Age adjustment: In epidemiology and demography, age adjustment, also called age standardization, is a technique used to allow populations to be compared when the age profiles of the populations are quite different.Temporal analysis of products: Temporal Analysis of Products (TAP), (TAP-2), (TAP-3) is an experimental technique for studyingIncidence (epidemiology): Incidence is a measure of the probability of occurrence of a given medical condition in a population within a specified period of time. Although sometimes loosely expressed simply as the number of new cases during some time period, it is better expressed as a proportion or a rate with a denominator.Disease registry: Disease or patient registries are collections of secondary data related to patients with a specific diagnosis, condition, or procedure, and they play an important role in post marketing surveillance of pharmaceuticals. Registries are different from indexes in that they contain more extensive data.Proportional reporting ratio: The proportional reporting ratio (PRR) is a statistic that is used to summarize the extent to which a particular adverse event is reported for individuals taking a specific drug, compared to the frequency at which the same adverse event is reported for patients taking some other drug (or who are taking any drug in a specified class of drugs). The PRR will typically be calculated using a surveillance database in which reports of adverse events from a variety of drugs are recorded.Canadian Organ Replacement Registry: The Canadian Organ Replacement Registry CORR is a health organisation was started by Canadian nephrologists and kidney transplant surgeons in 1985 in order to develop the care of patients with renal failure. In the early 1990s data on liver and heart transplantation were added to the registry.Regression dilution: Regression dilution, also known as regression attenuation, is the biasing of the regression slope towards zero (or the underestimation of its absolute value), caused by errors in the independent variable.Panmixia: Panmixia (or panmixis) means random mating.King C and Stanfield W.PSI Protein Classifier: PSI Protein Classifier is a program generalizing the results of both successive and independent iterations of the PSI-BLAST program. PSI Protein Classifier determines belonging of the found by PSI-BLAST proteins to the known families.National Center for Injury Prevention and Control: The U.S.List of geographic information systems software: GIS software encompasses a broad range of applications which involve the use of a combination of digital maps and georeferenced data. GIS software can be sorted into different categories.List of poisonings: This is a list of poisonings in chronological order of victim. It also includes confirmed attempted and fictional poisonings.Genetic linkage: Genetic linkage is the tendency of alleles that are located close together on a chromosome to be inherited together during the meiosis phase of sexual reproduction. Genes whose loci are nearer to each other are less likely to be separated onto different chromatids during chromosomal crossover, and are therefore said to be genetically linked.List of U.S. states by life expectancy: This article presents a list of United States states sorted by their life expectancy at birth and by race/ethnicity in every state where the population of that racial or ethnic group is sufficiently large for robust estimates. The data is taken from the Measure of America's third national human development report, The Measure of America 2013–2014 width="25%" align="center" |Disequilibrium (medicine): Disequilibrium}}International Statistical Classification of Diseases and Related Health Problems: The International Statistical Classification of Diseases and Related Health Problems, usually called by the short-form name International Classification of Diseases (ICD), is the international "standard diagnostic tool for epidemiology, health management and clinical purposes". The ICD is maintained by the World Health Organization (WHO), the directing and coordinating authority for health within the United Nations System.Information bias (epidemiology): Information bias}}Buckhorn Island State ParkVon Neumann regular ring: In mathematics, a von Neumann regular ring is a ring R such that for every a in R there exists an x in R such that . To avoid the possible confusion with the regular rings and regular local rings of commutative algebra (which are unrelated notions), von Neumann regular rings are also called absolutely flat rings, because these rings are characterized by the fact that every left module is flat.STO-nG basis sets: STO-nG basis sets are minimal basis sets, where n primitive Gaussian orbitals are fitted to a single Slater-type orbital (STO). n originally took the values 2 - 6.Health geography: Health geography is the application of geographical information, perspectives, and methods to the study of health, disease, and health care.Fluorescence anisotropy: Fluorescence anisotropy is the phenomenon where the light emitted by a fluorophore has unequal intensities along different axes of polarization. Early pioneers in the field include Aleksander Jablonski, Gregorio Weber,Weber, G.North Wales Narrow Gauge RailwaysGlobal Risks Report: The Global Risks Report is an annual study published by the World Economic Forum ahead of the Forum’s Annual Meeting in Davos, Switzerland. Based on the work of the Global Risk Network, the report describes changes occurring in the global risks landscape from year to year and identifies the global risks that could play a critical role in the upcoming year.Population stratification: Population stratification is the presence of a systematic difference in allele frequencies between subpopulations in a population possibly due to different ancestry, especially in the context of association studies. Population stratification is also referred to as population structure, in this context.Genetic variation: right|thumbChromosome regionsEpidemiological method: The science of epidemiology has matured significantly from the times of Hippocrates and John Snow. The techniques for gathering and analyzing epidemiological data vary depending on the type of disease being monitored but each study will have overarching similarities.Prenatal nutrition: Nutrition and weight management before and during :pregnancy has a profound effect on the development of infants. This is a rather critical time for healthy fetal development as infants rely heavily on maternal stores and nutrient for optimal growth and health outcome later in life.Internet organizations: This is a list of Internet organizations, or organizations that play or played a key role in the evolution of the Internet by developing recommendations, standards, and technology; deploying infrastructure and services; and addressing other major issues.Doob decomposition theorem: In the theory of stochastic processes in discrete time, a part of the mathematical theory of probability, the Doob decomposition theorem gives a unique decomposition of every adapted and integrable stochastic process as the sum of a martingale and a predictable process (or "drift") starting at zero. The theorem was proved by and is named for Joseph L.National Cancer Research Institute: The National Cancer Research Institute (NCRI) is a UK-wide partnership between cancer research funders, which promotes collaboration in cancer research. Its member organizations work together to maximize the value and benefit of cancer research for the benefit of patients and the public.CASY cell counting technology: CASY technology is an electric field multi-channel cell counting system. It was first marketed by Schärfe System GmbH in 1987 under the name CASY1.Image fusion: In computer vision, Multisensor Image fusion is the process of combining relevant information from two or more images into a single image.Haghighat, M.Matrix model: == Mathematics and physics ==