Adjustment uncertainty in effect estimation
نویسندگان
چکیده
منابع مشابه
Bayesian effect estimation accounting for adjustment uncertainty.
Model-based estimation of the effect of an exposure on an outcome is generally sensitive to the choice of which confounding factors are included in the model. We propose a new approach, which we call Bayesian adjustment for confounding (BAC), to estimate the effect of an exposure of interest on the outcome, while accounting for the uncertainty in the choice of confounders. Our approach is based...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2008
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asn015