Ordinal logistic regression in epidemiological studies

被引：54

作者：

Silva Abreu, Mery Natali ^{[1
,2
,3
]}

Siqueira, Arminda Lucia ^{[4
]}

Caiaffa, Waleska Teixeira ^{[1
,2
,3
]}

机构：

[1] Univ Fed Minas Gerais, Programa Posgrad Saude Publ, Fac Med, Belo Horizonte, MG, Brazil

[2] FM UFMG, Grp Pesquisa Epidemiol, Belo Horizonte, MG, Brazil

[3] FM UFMG, Observ Saude Urbana, Belo Horizonte, MG, Brazil

[4] Univ Fed Minas Gerais, Dept Estat, Inst Ciencias Exatas, Belo Horizonte, MG, Brazil

来源：

REVISTA DE SAUDE PUBLICA | 2009年 / 43卷 / 01期

关键词：

Statistics as Topic; Logistic Models; Regression Analysis; Epidemiologic Methods; PROPORTIONAL ODDS MODELS;

D O I：

10.1590/S0034-89102009000100025

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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).

引用

页码：183 / 194

页数：12

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