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6月9日下午14点-15点

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+) .