Variable elimination, graph reduction and efficient g-formula
@inproceedings{Guo2022VariableEG, title={Variable elimination, graph reduction and efficient g-formula}, author={F. Richard Guo and Emilija Perkovi'c and Andrea Rotnitzky}, year={2022} }
We study efficient estimation of an interventional mean associated with a point exposure treatment under a causal graphical model represented by a directed acyclic graph without hidden variables. Under such a model, it may happen that a subset of the variables are uninformative in that failure to measure them neither precludes identification of the interventional mean nor changes the semiparametric variance bound for regular estimators of it. We develop a set of graphical criteria that are sound…
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