9 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Sensitivity Analysis of Causal Treatment Effect Estimation for Clustered Observational Data with Unmeasured Confounding
Yang Ou, Lu Tang, Chung-Chou H. Chang
Identifying causal treatment (or exposure) effects in observational studies requires the data to satisfy the unconfoundedness assumption which is not testable using the observed da…
stat.ME2022
Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity
Zhongying Xu, Andriy I. Bandos, Tianzhou Ma +3
Allocating patients to treatment arms during a trial based on the observed responses accumulated prior to the decision point, and sequential adaptation of this allocation,, could m…
stat.ML2021★ 9 cited
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou +1
Accurately estimating personalized treatment effects within a study site (e.g., a hospital) has been challenging due to limited sample size. Furthermore, privacy considerations and…