马维 - 中国人民大学 - 统计与大数据研究院

个人简介

2009年本科毕业于浙江大学数学系，2014年毕业于美国弗吉尼亚大学并取得统计学博士学位。博士毕业后曾在国际知名制药企业Biogen研发部门任资深生物统计学家。2017年加入中国人民大学统计与大数据研究院任助理教授、博士生导师，2021年晋升为副教授。

研究领域

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。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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, 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., 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.