activity
20232026
most citedSemiparametric causal mediation analysis of cluster-randomized trials for indirect and spillover effects

3 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2026

Empirical stratification for predictive treatment effect heterogeneity with post-treatment variables

Chao Cheng, Rui Wang, Yichi Zhang

Post-treatment variables (PVs), such as intercurrent events, treatment noncompliance, and behavioral responses to treatment, provide information about individuals' post-treatment r…

stat.ME2026

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…

stat.ME2026

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…

stat.ME2026

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…

stat.ME2025

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…

stat.ME2025

Model-robust standardization in cluster-randomized trials

Fan Li, Jiaqi Tong, Xi Fang +3

In cluster-randomized trials, generalized linear mixed models and generalized estimating equations have conventionally been the default analytic methods for estimating the average…

stat.ME2024

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials

Jiaqi Tong, Chao Cheng, Guangyu Tong +2

In clinical trials, the observation of participant outcomes may frequently be hindered by death, leading to ambiguity in defining a scientifically meaningful final outcome for thos…

stat.ME2024★ 3 cited

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…

stat.ME2024★ 1 cited

Inverting estimating equations for causal inference on quantiles

Chao Cheng, Fan Li

The causal inference literature frequently focuses on estimating the mean of the potential outcome, whereas quantiles of the potential outcome may carry important additional inform…

stat.ME2023

Identification and multiply robust estimation in causal mediation analysis across principal strata

Chao Cheng, Fan Li

We consider assessing causal mediation in the presence of a post-treatment event (examples include noncompliance, a clinical event, or death). We identify natural mediation effects…