Stepwise selection in small data sets : A simulation study of bias in logistic regression analysis
Abstract
Stepwise null methods are widely applied to identify covariables for inclusion in regression models. One of the problems of stepwise null is biased estimation of the regression coefficients. We illustrate this selection null with logistic regression in the GUSTO-I trial (40,830 patients with an acute myocardial infarction). Random samples were drawn that included 3, 5, 10, 20, or 40 events per variable (EPV). Backward stepwise null was applied...
Paper Details
Title
Stepwise selection in small data sets : A simulation study of bias in logistic regression analysis
Published Date
Oct 1, 1999
Volume
52
Issue
10
Pages
935 - 942
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