1 citations · 1 across the 9 of their papers we have counts for
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Regression adjustment in covariate-adaptive randomized experiments with missing covariates
Wanjia Fu, Yingying Ma, Hanzhong Liu
Covariate-adaptive randomization is widely used in clinical trials to balance prognostic factors, and regression adjustments are often adopted to further enhance the estimation and…
Minimax Optimal Design with Spillover and Carryover Effects
Haoyang Yu, Wei Ma, Hanzhong Liu
In various applications, the potential outcome of a unit may be influenced by the treatments received by other units, a phenomenon known as interference, as well as by prior treatm…
Incorporating external data for analyzing randomized clinical trials: A transfer learning approach
Yujia Gu, Hanzhong Liu, Wei Ma
Randomized clinical trials are the gold standard for analyzing treatment effects, but high costs and ethical concerns can limit recruitment, potentially leading to invalid inferenc…
Estimation and inference of average treatment effects under heterogeneous additive treatment effect model
Xin Lu, Hongzi Li, Hanzhong Liu
Randomized experiments are the gold standard for estimating treatment effects, yet network interference challenges the validity of traditional estimators by violating the stable un…
Treatment effect estimation under covariate-adaptive randomization with heavy-tailed outcomes
Hongzi Li, Wei Ma, Yingying Ma +1
Randomized experiments are the gold standard for investigating causal relationships, with comparisons of potential outcomes under different treatment groups used to estimate treatm…
Inference under covariate-adaptive randomization with many strata
Jiahui Xin, Hanzhong Liu, Wei Ma
Covariate-adaptive randomization is widely employed to balance baseline covariates in interventional studies such as clinical trials and experiments in development economics. Recen…
A unified framework for covariate adjustment under stratified randomization
Fuyi Tu, Wei Ma, Hanzhong Liu
Randomization, as a key technique in clinical trials, can eliminate sources of bias and produce comparable treatment groups. In randomized experiments, the treatment effect is a pa…