GW Hu's Group - Research and Publications

GW Hu's Group

Research areas:

Adaptive design of clinical trials and their statistical properties;

Covariate-adaptive designs.
Response-adaptive designs.
Covariate-adjusted response-adaptive designs.

A/B testing for network data; AI in clinical trials research.

Bootstrap methods; statistical issues in personalized medicine; stochastic process.

Selected Publications (* indicates supervised students)

"Statistical inference on the relative risk following covariate-adaptive randomization", F. Zhao*, Y. Liu* and F. Hu, Biometrics (2025).
"Efficient randomized adaptive designs for multi-arm clinical trials", N. Alkhnefr* and F. Hu, Statistical methods in meidcal research (2025).
"Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization", Y. Liu*, L. Xia, and F. Hu, Journal of Econometrics (2025).
"Group response-adaptive designs with missing and delayed responses", G. Zhai* and F. Hu, Statistics in Medicine (2024).
"Cluster-Adaptive Network A/B Testing: From Randomization to Estimation", Y. Liu*, Y. Zhou, P. Li, and F. Hu, Journal of Machine Learning Research (2024).
"The impacts of unobserved covariates on covariate-adaptive randomized experiments", Y. Liu* and F. Hu, The Annals of Statistics (2023).
"Balancing unobserved covariates with Covariate-Adaptive Randomized Experiments", Y. Liu* and F. Hu, Journal of the Americal Statistical Association (2023).
"A/B testing in Network Data with Covariate-Adaptive Randomization", J. Wang*, P. Li and F. Hu, International Conference on Machine Learning (2023).
"carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials", W. Ma*, X. Ye, F. Tu and F. Hu, Journal of Statistical Software (2023).
"A new and unified family of covariate-adaptive randomization procedures and their properties", W. Ma*, P. Li, L. Zhang and F. Hu, Journal of the Americal Statistical Association (2022).
"Response-adaptive treatment randomization for multiple comparisons of treatments with recurrent event responses", J. Gao, F. Hu, SH Cheug, and P.F. Su, Statistical methods in medical research (2022).
"Adaptive A/B Test on Networks with Cluster Structures", Y. Liu*, Y. Zhou*,P. Li, and F.Hu, International Conference on Artificial Intelligence and Statistics (2022).
"On the theory of covariate-adaptive designs", F. Hu and L. Zhang, arxiv:2004.02994 (2020).
"Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials", W. Ma*, F. Hu and L. Zhang, Journal of the Americal Statistical Association (2015).
"A Unified Family of Covariate-Adjusted Response-Adaptive Designs Based on Efficiency and Ethics". J. Hu, H. Zhu* and F. Hu, Journal of the Americal Statistical Association (2015).
"Asymptotic Properties of Covariate-Adaptive Randomization", Y. Hu* and F. Hu, The Annals of Statistics (2012).
"Sequential monitoring of response-adaptive randomized clinical trials ", H. Zhu* and F. Hu, The Annals of Statistics (2010).
"Efficient randomized adaptive designs ", F. Hu, L.X. Zhang and X. He, The Annals of statistics (2009).

Selected talks

AI statisticians in clinical trials, StatConnect, March 27, 2026, GeorgeTown University.
AI-powered clinical trials and implementations. BiotechX, Sept 16-17, 2025, Philadelphia.
The impact of unobserved covariates on covariate adaptive randomized experiments, Keynote Speaker of The 2nd annual meeting of the society of multivariate analysis. June 7-9, 2025, Chongqing, China.
Adaptive randomization and generate AI: a great match? Experimental design + AI workshop. Mar 7-9, 2025, University of California at Berkeley.
Panelist of the session: “Novel Designs in Evaluating Multiple Indications Related to Metabolic Disorders” at STATBOLIC, ASA. Feb 6th, 2025; Sliver Spring, MD, USA.
Panelist of the session: “Covariate-adjusted inference and related issues” at The 2024 ASA Bio-pharmaceutical Section Regulatory-Industry Statistics Workshop, Sept 25-27, Rockville, MD, USA.
Covariate-adaptive randomization and covariate-adjusted inference: Some practical issues. The 2024 ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop, Sept 25-27, Rockville, MD, USA.
Covariate-Adaptive Designs and Covariate-Adjusted Inference: A Review and Some Practical Issues. Keynote Speaker of International Symposium on Health Data Science, July 10, 2024 at Renmin University of China, Beijing, China.
A New Family of Covariate-Adaptive Randomization Procedures and Their Properties. The 2023 Joint Statistical Meetings (JSM). August 5-10, 2023. Toronto, Canada.

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