个人简历

马维，中国人民大学统计与大数据研究院长聘副教授、博士生导师，国家级青年人才项目获得者。研究兴趣包括自适应设计、临床试验设计与分析、生物统计、健康医疗大数据等。在Journal of the American Statistical Association、Biometrika、Biometrics等期刊上发表多篇学术论文。主持国家自然科学基金项目2项，参与国家重点研发计划1项。担任中国现场统计研究会试验设计分会理事、因果推断分会理事。

详见个人网页：https://maweiruc.github.io/

Selected Publications:

Ma, W., Tu, F., and Liu, H. (2022). Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective. Statistics in Medicine, in press.

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.

Liu, H., Tu, F., and Ma, W. (2022) Lasso-adjusted treatment effect estimation under covariate-adaptive randomization. Biometrika, in press.

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.

Software:

carat:  Covariate-Adaptive Randomization for Clinical Trials.

caratREG:  Regression Analysis Methods for Covariate-Adaptive Randomized Trials.