A potential pitfall in control of covariates in epidemiologic studies

被引:11
作者
Brenner, H [1 ]
机构
[1] Univ Ulm, Dept Epidemiol, D-89081 Ulm, Germany
关键词
confounding; effect modification; epidemiologic methods; data analysis;
D O I
10.1097/00001648-199801000-00014
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Control of covariates is essential in nonexperimental epidemi ologic studies. Important covariates, such as smoking or alcohol consumption, often are crudely categorized in epidemio logic analyses, In this paper, I illustrate by both hypothetical and empirical examples thar control of crudely categorized covariates can yield strongly misleading results. In particular, I show that, under certain conditions, control for crudely classified covariates can even be worse than not controlling for such. covariates at ail. I conclude that covariate specification is an issue that requires much more care than it commonly receives in epidemiologic analyses.
引用
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页码:68 / 71
页数:4
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