World's Best Scientists 2026 revealed!

Research.com Recognitions

  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Feifang Hu is affiliated with George Washington University in the United States. Their research focuses primarily on the intersection of mathematics and statistics, with a specialization in statistical methods applied to clinical trials and experimental design.

The scientist has contributed extensively to fields including Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, and Statistical Uncertainty. Their work covers key topics such as:

  • Statistical Methods in Clinical Trials
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Optimal Experimental Design Methods
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Bayesian Methods and Mixture Models

Feifang Hu has published in various scholarly venues, with several works appearing in the following journals:

  • Statistical Methods in Medical Research
  • Biometrics
  • Statistics in Medicine
  • arXiv (Cornell University)
  • Journal of the American Statistical Association

Their recent papers include:

  • On the Theory of Covariate-Adaptive Designs, 2020, arXiv (Cornell University)
  • Multi-arm covariate-adaptive randomization, 2022, Science China Mathematics
  • Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments, 2020, Journal of the American Statistical Association
  • Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates, 2021, Statistical Methods in Medical Research
  • A New and Unified Family of Covariate Adaptive Randomization Procedures and Their Properties, 2022, Journal of the American Statistical Association

Collaboration is an aspect of their research activity, with frequent co-authors including Wei Ma, Zhang Li, Yichen Qin, Yang Liu, and Yang Li. These collaborative efforts reflect interconnected work within their subfields of expertise.

In recognition of their professional contributions, Feifang Hu was named a Fellow of the American Statistical Association in 2009.

Best Publications

  • The Theory of Response-Adaptive Randomization in Clinical Trials

    Feifang Hu;William F. Rosenberger

  • The Theory of Response-Adaptive Randomization in Clinical Trials: Hu/Response-Adaptive

    Feifang Hu;William F. Rosenberger

  • Asymptotic properties of doubly adaptive biased coin designs for multitreatment clinical trials

    Feifang Hu;Li-Xin Zhang

  • Optimality, Variability, Power

    Feifang Hu;William F Rosenberger

  • Markov Chain Marginal Bootstrap

    Xuming He;Feifang Hu

  • The weighted likelihood

    Feifang Hu;James V. Zidek

  • Implementing Optimal Allocation in Sequential Binary Response Experiments

    Yevgen Tymofyeyev;William F Rosenberger;Feifang Hu

  • Asymptotic properties of covariate-adjusted response-adaptive designs

    Li-Xin Zhang;Feifang Hu;Siu Hung Cheung;Wai Sum Chan

  • Asymptotics in randomized urn models

    Zhi-Dong Bai;Feifang Hu

  • Asymptotic Properties of Adaptive designs for Clinical Trials with delayed Response

    Z.D. Bai;Feifang Hu;William F. Rosenberger

  • Asymptotically best response-adaptive randomization procedures

    Feifang Hu;William F. Rosenberger;William F. Rosenberger;William F. Rosenberger;Li-Xin Zhang;Li-Xin Zhang

  • The estimating function bootstrap

    Feifang Hu;John D. Kalbfleisch

  • Asymptotic properties of covariate-adaptive randomization

    Yanqing Hu;Feifang Hu

  • Asymptotic theorems for urn models with nonhomogeneous generating matrices

    Z.D. Bai;Feifang Hu

  • Efficient randomized-adaptive designs

    Feifang Hu;Li Xin Zhang;Xuming He

  • Maximizing power and minimizing treatment failures in clinical trials.

    William F Rosenberger;Feifang Hu

  • Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials

    Wei Ma;Feifang Hu;Lixin Zhang

  • Asymptotic Properties of Covariate-Adjusted Adaptive Designs

    Li-Xin Zhang;Feifang Hu;Siu Hung Cheung;Wai Sum Chan

  • Adaptive randomization for clinical trials.

    William F Rosenberger;Oleksandr Sverdlov;Feifang Hu

  • Likelihood‐Based Inference

    Feifang Hu;William F. Rosenberger

Frequent Co-Authors

William F. Rosenberger
William F. Rosenberger George Mason University
Zhidong Bai
Zhidong Bai Northeast Normal University
James V. Zidek
James V. Zidek University of British Columbia
Xuming He
Xuming He Washington University in St. Louis
J. Jack Lee
J. Jack Lee The University of Texas MD Anderson Cancer Center
John D. Kalbfleisch
John D. Kalbfleisch University of Michigan–Ann Arbor

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