feLdTALuq3@OpenReview

Total: 1

#1 Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death [PDF] [Copy] [Kimi] [REL]

Authors: Sihyung Park, Wenbin Lu, Shu Yang

Truncation by death, a prevalent challenge in critical care, renders traditional dynamic treatment regime (DTR) evaluation inapplicable due to ill-defined potential outcomes. We introduce a principal stratification-based method, focusing on the always-survivor value function. We derive a semiparametrically efficient, multiply robust estimator for multi-stage DTRs, demonstrating its robustness and efficiency. Empirical validation and an application to electronic health records showcase its utility for personalized treatment optimization.

Subject: NeurIPS.2025 - Poster