Doubly Robust Estimation of Causal Effects
نویسندگان
چکیده
منابع مشابه
Practice of Epidemiology Doubly Robust Estimation of Causal Effects
Doubly robust estimation combines a form of outcome regression with a model for the exposure (i.e., the propensity score) to estimate the causal effect of an exposure on an outcome. When used individually to estimate a causal effect, both outcome regression and propensity score methods are unbiased only if the statistical model is correctly specified. The doubly robust estimator combines these ...
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ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 2011
ISSN: 1476-6256,0002-9262
DOI: 10.1093/aje/kwq439