R package madr. Estimates average treatment effects using model average double robust (MA-DR) estimation. The MA-DR estimator is defined as weighted average of double robust estimators, where each double robust estimator corresponds to a specific choice of the outcome model and the propensity score model. The MA-DR estimator extend the desirable double robustness property by achieving consistency under the much weaker assumption that either the true propensity score model or the true outcome model be within a specified, possibly large, class of models.
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References in zbMATH (referenced in 1 article )
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- Cefalu, Matthew; Dominici, Francesca; Arvold, Nils; Parmigiani, Giovanni: Model averaged double robust estimation (2017)