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stat.ME2026
Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
Qinwei Yang, Jingyi Li, Peng Wu +1
Randomized controlled trials (RCTs) often suffer from limited inferential efficiency in estimating treatment effects due to their small sample sizes. In recent years, incorporating…
stat.ME2025
Matching-Based Nonparametric Estimation of Group Average Treatment Effects
Peng Wu, Pengtao Zeng, Zhaoqing Tian +1
Heterogeneous treatment effects, which vary according to individual covariates, are crucial in fields such as personalized medicine and tailored treatment strategies. In many appli…
stat.ME2024
Semiparametric Efficient Inference for the Probability of Necessary and Sufficient Causation
Zhaoqing Tian, Peng Wu
Causal attribution, which aims to explain why events or behaviors occur, is crucial in causal inference and enhances our understanding of cause-and-effect relationships in scientif…