Wei Ma
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Associate Professor |
Bio
Wei Ma received the B.S. degree in mathematics from Zhejiang University in 2009 and the Ph.D. degree in statistics from the University of Virginia in 2014. From 2014 to 2017, he was a Biostatistician/Senior Biostatistician at Biogen. Since the spring of 2017, he has been an Assistant/Associate Professor in the Institute of Statistics and Big Data at Renmin University of China.
Research Interests
Adaptive Design
Biostatistics and Bioinformatics
Design and Analysis of Clinical Trials
Health Big Data Analytics
Statistics in Education
Selected Publications
Gu, Y., Liu, H., and Ma, W. (2023) Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization. Biometrics, in press.
Ma, W., Ye, X., Tu, F., and Hu, F. (2023) carat: An R package for covariate-adaptive randomization in clinical trials. Journal of Statistical Software, 102(2), 1–47.
Liu, H., Tu, F., and Ma, W. (2023) Lasso-adjusted treatment effect estimation under covariate-adaptive randomization. Biometrika, 110(2), 431–447.
Ma, W., Li, P., Zhang, L. X., and Hu, F. (2022) A new and unified family of covariate adaptive randomization procedures and their properties. Journal of the American Statistical Association, in press.
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.