Proposes proximal identification strategies and a multiply robust semiparametric estimator for mediation effects with hidden recanting witnesses.
Causal inference under unmeasured confounding with negative controls: A minimax learning approach
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
Introduces decision-aware proximal bridge learning using a weighted loss and regret bound to enhance optimal treatment selection in settings with hidden confounding.
Proximal confounding bridge functions yield four nonparametric identification strategies and a quadruply robust estimator for path-specific effects under unmeasured confounding.
citing papers explorer
-
Proximal Mediation Analysis with Hidden Recanting Witnesses
Proposes proximal identification strategies and a multiply robust semiparametric estimator for mediation effects with hidden recanting witnesses.
-
Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
Introduces decision-aware proximal bridge learning using a weighted loss and regret bound to enhance optimal treatment selection in settings with hidden confounding.
-
Proximal Path-Specific Inference
Proximal confounding bridge functions yield four nonparametric identification strategies and a quadruply robust estimator for path-specific effects under unmeasured confounding.