title: [Ordinal logistic regression in epidemiological studies].
abstract: 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).
authors.affiliation: Programa de Pós-graduação em Saúde Pública, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil. merynatali@yahoo.com.br
authors.forename: Mery Natali Silva
authors.initials: MN
authors.lastname: Abreu
authors.forename: Arminda Lucia
authors.initials: AL
authors.lastname: Siqueira
authors.forename: Waleska Teixeira
authors.initials: WT
authors.lastname: Caiaffa
mesh_terms: D016021:Epidemiologic Studies; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D009749:Nutrition Surveys; D012984:Software