ConceptDoubly Robust Estimation / DR
Doubly Robust Estimation
An estimation technique in causal inference that combines an outcome model and a propensity model. It guarantees consistency of the estimate as long as one of the two models is correctly specified.
Timeline (last 90 days)
Oct 19
The two-step selection and pruning procedure controls FDR in finite samples and establishes a doubly robust asymptotic guarantee: FDR control still holds as long as either the outcome model or the propensity model is correctly specified.
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