معرفی
Feifang Hu is a Professor and Department Chair in the Department of Statistics at George Washington University. His expertise includes adaptive design of clinical trials, bioinformatics, biostatistics, bootstrap methods, statistical issues in personalized medicine, financial econometrics, and stochastic processes. He holds a PhD from the University of British Columbia (1994). His research focuses on developing and refining statistical methodologies for clinical trials, particularly in covariate-adaptive randomization and response-adaptive designs, with applications in precision medicine and network-based trials.
Dr. Hu has published extensively in top journals such as the Journal of the American Statistical Association, Biometrics, and Annals of Statistics. His work emphasizes balancing covariates in experimental designs, improving statistical inference under adaptive frameworks, and addressing challenges in real-world clinical data. His contributions include theoretical advancements in urn models, sequential monitoring, and efficient randomized allocation strategies.
Notably, Dr. Hu’s research trends highlight innovations in handling delayed responses, missing covariates, and network structures in trials. He has developed the 'carat' R package to facilitate covariate-adaptive randomization in clinical studies. His work bridges statistical theory and practical applications, influencing modern clinical trial design and personalized medicine.
