Welcome to our site! Currently, our group's research focuses on adaptive randomization designs and their statistical inference.
More specifically, we are interested in the impact of network interference in A/B testing; unobserved covariates in covariate-adaptive designs; issues in personalized medicine; statistical applications to clinical trials, etc.
We are also interested in the use of AI in clinical trial design.
Valid test for multi-arm trials with GLM under covariate-adaptive randomization
Guannan Zhai, Feifang Hu.
Efficient randomized adaptive designs for multi-arm clinical trials
Norah Alkhnefr, Guannan Zhai, Feifang Hu.
Statistical inference on the relative risk following covariate-adaptive randomization
Fengyu Zhao, Yang Liu, Feifang Hu.
Response-Adaptive Randomization Procedure in Clinical Trials with Surrogate Endpoints
Jingya Gao, Feifang Hu, Wei Ma.
Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization
Yang Liu, Lucy Xia, Feifang Hu.