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数学与统计及交叉学科前沿论坛------高端学术讲座第57场

讲座题目Covariate-adaptive randomization in clinical trials for balancing covariates

主讲人:张立新教授 浙江大学

讲座时间:2022年69日下午14-15

讲座地点:腾讯会议号:688 857 179

主讲人简介

张立新,浙江大学求是特聘教授、博士生导师,浙江大学数据科学研究中心副主任。1995年获复旦大学理学博士学位,1997年晋升为教授,曾担任浙江大学统计学研究所副所长、所长,数学科学学院副院长。现任IMS-China委员会委员、中国现场统计研究会常务理事、中国概率统计学会常务理事、浙江省现场统计研究会理事长。主要从事概率极限理论、临床试验自适应随机化设计、相依数据模型、随机过程轨道性质等领域的研究,先后主持国家自然科学基金面上项目5项、重点项目1项,在《Annals of Statistics》《Annals of Probability》《Annals of Applied Probability》《Journal of the American Statistical Association》等概率论与数理统计权威刊物上发表学术论文160多篇。

主讲内容:

Balancing treatment allocation over influential covariates is an important issue in clinical trials. In literature, a lot of covariate-adaptive designs are proposed for balancing covariates. In this talk, we consider the theory of the covariate-adaptive designs. The asymptotic type I error and asymptotic power of hypothesis testing to compare the treatment effects under covariate-adaptive randomization procedures are considered. It is shown that the test has not precise type I error and will lose power if the covariates are not balanced well. The efficient covariate-adaptive designs are introduced so that the loss of power is asymptotically ignorable. The talk is based on works of Ma, Hu and Zhang (2015), Hu, Ye and Zhang (2022+), Ma, Li, Zhang and Hu (2022+) .

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