Assessing treatment effects in observational data with missing confounders: a comparative study of practical doubly-robust and traditional missing-data methods
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I discuss a comparative study of several doubly-robust methods (generalized raking, TMLE) and traditional missing-data methods in the context of missing confounder variables, motivated by safety surveillance of pharmacological products using observational data.