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)

"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-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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