Confounder selection via penalized credible regions
نویسندگان
چکیده
منابع مشابه
Confounder selection via penalized credible regions.
When estimating the effect of an exposure or treatment on an outcome it is important to select the proper subset of confounding variables to include in the model. Including too many covariates increases mean square error on the effect of interest while not including confounding variables biases the exposure effect estimate. We propose a decision-theoretic approach to confounder selection and ef...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2014
ISSN: 0006-341X
DOI: 10.1111/biom.12203