Ordinal logistic regression in epidemiological studies

Authors

  • Mery Natali Silva Abreu UFMG; FM; Grupo de Pesquisa em Epidemiologia e Observatório de Saúde Urbana
  • Arminda Lucia Siqueira UFMG; Instituto de Ciências Exatas; Departamento de Estatística
  • Waleska Teixeira Caiaffa UFMG; FM; Grupo de Pesquisa em Epidemiologia e Observatório de Saúde Urbana

DOI:

https://doi.org/10.1590/S0034-89102009000100025

Keywords:

Statistics as Topic, Logistic Models, Regression Analysis, Epidemiologic Methods

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).

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Published

2009-02-01

Issue

Vol. 43 No. 1 (2009)

Section

Comments

How to Cite

Abreu, M. N. S., Siqueira, A. L., & Caiaffa, W. T. (2009). Ordinal logistic regression in epidemiological studies . Revista De Saúde Pública, 43(1), 183-194. https://doi.org/10.1590/S0034-89102009000100025