Abreu Mery Natali Silva, Siqueira Arminda Lucia, Caiaffa Waleska Teixeira
Programa de Pós-graduação em Saúde Pública, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.
Rev Saude Publica. 2009 Feb;43(1):183-94. doi: 10.1590/s0034-89102009000100025.
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).
序数逻辑回归模型已被开发用于流行病学研究分析。然而,到目前为止,此类模型在调整方面的充分性很少受到关注。在本文中,我们回顾了最重要的序数回归模型以及用于使用R或Stata程序验证拟合优度的常用方法。我们使用来自国家健康和营养检查调查(NHANES II)的健康状况数据集进行了正式和图形分析,以比较序数模型。