On the consequences of model misspecification in logistic regression.
نویسندگان
چکیده
منابع مشابه
On the consequences of model misspecification in logistic regression.
Logistic regression models are commonly used to study the association between a binary response variable and an exposure variable. Besides the exposure of interest, other covariates are frequently included in the fitted model in order to control for their effects on outcome. Unfortunately, misspecification of the main exposure variable and the other covariates is not uncommon, and this can adve...
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ژورنال
عنوان ژورنال: Environmental Health Perspectives
سال: 1990
ISSN: 0091-6765,1552-9924
DOI: 10.1289/ehp.908769