Wei Ma
 |
Associate Professor |
Bio
Wei Ma received his B.S. degree in Mathematics from Zhejiang University in 2009 and his Ph.D. degree in Statistics from the University of Virginia in 2014. After his Ph.D., he worked in the pharmaceutical industry as a Biostatistician with Biogen for three years. In 2017, he returned to academia as an Assistant Professor in the Institute of Statistics and Big Data at Renmin University of China. He became an Associate Professor in 2021 and was promoted to tenure in 2023.
Research Interests
Adaptive design
- Covariate-adaptive design
- Response-adaptive design
- Covariate-adjusted response-adaptive design (CARA)
Design and analysis of randomized controlled trials (RCT)
- Machine learning-integrated design and analysis
- Covariate adjustment for RCT
- Transfer learning for RCT
- Virtual clinical trials (VCT)
Machine learning and AI
- Tree-based methods
- Generative modeling and its applications in statistics
- Statistical foundation models
Biostatistics and bioinformatics
Big data analytics in medicine and healthcare
Selected Awards and Professional Activities
Associate Editor, Journal of the American Statistical Association, 2026–2028.
Associate Editor, The American Statistician, 2026–2028.
Committee Member, Nominating and Election Committee, International Chinese Statistical Association, 2026–2028.
Guest Editor, Special Issue on “Covariate Adaptive Randomization and Covariate Adjusted Analysis in Clinical Trials”, Statistica Sinica, 2024–present.
Associate Editor, Statistica Sinica, 2024–2026.
Elected Member, International Statistical Institute, 2024.
Selected Publications
Ye, X., Hu, F., and Ma, W. (2024) Robustness of response-adaptive randomization. Biometrics, 80(2), ujae049.
Ma, W., Li, P., Zhang, L. X., and Hu, F. (2024) A new and unified family of covariate adaptive randomization procedures and their properties. Journal of the American Statistical Association, 119(545), 151–162.
Gu, Y., Liu, H., and Ma, W. (2023) Regression-based multiple treatment effect estimation under covariate-adaptive randomization. Biometrics, 79(4), 2869–2880.
Liu, H., Tu, F., and Ma, W. (2023) Lasso-adjusted treatment effect estimation under covariate-adaptive randomization. Biometrika, 110(2), 431–447.
Ma, W., Tu, F., and Liu, H. (2022) Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective. Statistics in Medicine, 41(29), 5645–5661.
Ma, W., Wang, M., and Zhu, H. (2022) Seamless phase II/III clinical trials with covariate adaptive randomization. Statistica Sinica, 32(2), 1079–1098.
Wang, T. and Ma, W. (2021) The impact of misclassification on covariate-adaptive randomized clinical trials. Biometrics, 77(2), 451–464.
Ma, W., Qin, Y., Li, Y., and Hu, F. (2020) Statistical inference for covariate-adaptive randomization procedures. Journal of the American Statistical Association, 115(531), 1488–1497.
Ma, W., Hu, F., and Zhang, L. X. (2015) Testing hypotheses of covariate-adaptive randomized clinical trials. Journal of the American Statistical Association, 110(510), 669–680.