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Found 2 papers, 2 papers with code
Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional
As an alternative, the front-door criterion offers a solution, even in the presence of unmeasured confounders between treatment and outcome.
Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms
This MNAR model corresponds to a so-called criss-cross structure considered in the literature on graphical models of missing data that prevents nonparametric identification of the entire missing data model.
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