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[Ordinal Logistic Regression in Epidemiological Studies]

Overview
Specialty Public Health
Date 2009 Jan 27
PMID 19169593
Citations 11
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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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