3 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
Deep Optimal Individualized Treatment Rules for Bivariate Survival Outcomes via Adaptive Prediction-Powered Learning
Kun Ren, Yifan Cui, Wen Su
In randomized trials involving multiple treatments, bivariate survival outcomes present significant analytical challenges for making decisions. This paper addresses the problem of…
Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
Qiushi Bu, Wen Su, Xinyu Zhang +2
We study causal inference for time-to-event outcomes under right censoring in the presence of unmeasured confounding. Focusing on structural accelerated failure time models, we dev…
Flexible semiparametric modeling with application to Causal Inference
Kun Ren, Wen Su, Li Liu +2
This paper proposes a flexible new framework for constructing Neyman-orthogonal scores in semiparametric models involving infinite-dimensional nuisance parameters. While locally es…
Learning Optimal Distributionally Robust Individualized Treatment Rules Integrating Multi-Source Data
Wenhai Cui, Wen Su, Xingqiu Zhao
Integrative analysis of multiple datasets for estimating optimal individualized treatment rules (ITRs) can enhance decision efficiency. A central challenge is posterior shift, wher…
Learning Optimal Individualized Decision Rules with Conditional Demographic Parity
Wenhai Cui, Wen Su, Donglin Zeng +1
Individualized decision rules (IDRs) have become increasingly prevalent in societal applications such as personalized marketing, healthcare, and public policy design. However, a cr…