8 papers
Empirical stratification for predictive treatment effect heterogeneity with post-treatment variables
Chao Cheng, Rui Wang, Yichi Zhang
The paper proposes an empirical stratification method that uses baseline predictions of post‑treatment variables to define subgroups and estimate how treatment effects vary across…
Separate versus pooled winsorization for group mean contrasts: a finite-sample theory
Chao Cheng, Chenshan Hu, Yukai Huang
Comparing group means is foundational to many statistical areas, including two-sample studies, randomized trials, and difference-in-differences designs, yet heavy-tailed outcomes c…
Nonparametric efficient inference for network quantile causal effects under partial interference
Chao Cheng, Fan Li
Interference arises when the treatment assigned to one individual affects the outcomes of other individuals. Commonly, individuals are naturally grouped into clusters, and interfer…
Causal mediation in cluster-randomized trials with multiple mediators: spillover-aware decomposition, identification, and semiparametric efficient inference
Jiaqi Tong, Chao Cheng, Fan Li
Causal mediation analysis in cluster-randomized trials (CRTs) is complicated by the presence of multiple mediators, intracluster correlation, and within-cluster interference. Exist…
Semiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects
Chao Cheng, Fan Li
In cluster-randomized trials (CRTs), there is emerging interest in exploring the causal mechanism in which a cluster-level treatment affects the outcome through an intermediate out…
Identification and efficient estimation of compliance and network causal effects in cluster-randomized trials
Chao Cheng, Georgia Papadogeorgou, Fan Li
Treatment noncompliance is pervasive in infectious disease cluster-randomized trials. Although all individuals within a cluster are assigned the same treatment condition, the treat…