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[Ordinal logistic regression in epidemiological studies]. 2009

Mery Natali Silva Abreu, and Arminda Lucia Siqueira, and Waleska Teixeira Caiaffa
Programa de Pós-graduação em Saúde Pública, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil. merynatali@yahoo.com.br

Ordinal logistic regression models have been developed for analysis of epidemiological studies. However, the adequacy of such models for adjustment has so far received little attention. In this article, we reviewed the most important ordinal regression models and common approaches used to verify goodness-of-fit, using R or Stata programs. We performed formal and graphical analyses to compare ordinal models using data sets on health conditions from the National Health and Nutrition Examination Survey (NHANES II).

UI MeSH Term Description Entries
D009749 Nutrition Surveys A systematic collection of factual data pertaining to the nutritional status of a human population within a given geographic area. Data from these surveys are used in preparing NUTRITION ASSESSMENTS. NHANES,National Health and Nutrition Examination Survey,Nutritional Surveys,Nutrition Survey,Nutritional Survey,Survey, Nutrition,Survey, Nutritional,Surveys, Nutrition,Surveys, Nutritional
D006304 Health Status The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures. General Health,General Health Level,General Health Status,Level of Health,Overall Health,Overall Health Status,General Health Levels,Health Level,Health Level, General,Health Levels,Health Status, General,Health Status, Overall,Health, General,Health, Overall,Level, General Health,Levels, General Health,Status, General Health,Status, Health,Status, Overall Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012984 Software Sequential operating programs and data which instruct the functioning of a digital computer. Computer Programs,Computer Software,Open Source Software,Software Engineering,Software Tools,Computer Applications Software,Computer Programs and Programming,Computer Software Applications,Application, Computer Software,Applications Software, Computer,Applications Softwares, Computer,Applications, Computer Software,Computer Applications Softwares,Computer Program,Computer Software Application,Engineering, Software,Open Source Softwares,Program, Computer,Programs, Computer,Software Application, Computer,Software Applications, Computer,Software Tool,Software, Computer,Software, Computer Applications,Software, Open Source,Softwares, Computer Applications,Softwares, Open Source,Source Software, Open,Source Softwares, Open,Tool, Software,Tools, Software
D016015 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. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D016021 Epidemiologic Studies Studies designed to examine associations, commonly, hypothesized causal relations. They are usually concerned with identifying or measuring the effects of risk factors or exposures. The common types of analytic study are CASE-CONTROL STUDIES; COHORT STUDIES; and CROSS-SECTIONAL STUDIES. Epidemiological Studies,Studies, Epidemiologic,Epidemiologic Study,Epidemiological Study,Studies, Epidemiological,Study, Epidemiologic,Study, Epidemiological

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