Asymptotic properties of covariate-adjusted response-adaptive designs
Publication in refereed journal


香港中文大学研究人员 ( 现职)

陈伟森教授 (金融学系)

张绍洪教授 (统计学系)

全文

数位物件识别号 (DOI) http://dx.doi.org/10.1214/009053606000001424

引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/40WOS source URL

其它资讯

摘要Response-adaptive designs have been extensively studied and used in clinical trials. However, there is a lack of a comprehensive study of responseadaptive designs that include covariates, despite their importance in clinical trials. Because the allocation scheme and the estimation of parameters are affected by both the responses and the covariates, covariate-adjusted responseadaptive (CARA) designs are very complex to formulate. In this paper, we overcome the technical hurdles and lay out a framework for general CARA designs for the allocation of subjects to K (>= 2) treatments. The asymptotic properties are studied under certain widely satisfied conditions. The proposed CARA designs can be applied to generalized linear models. Two important special cases, the linear model and the logistic regression model, are considered in detail.

着者Zhang LX, Hu FF, Cheung SH, Chan WS
期刊名称ANNALS OF STATISTICS
出版年份2007
月份6
日期1
卷号35
期次3
出版社INST MATHEMATICAL STATISTICS
页次1166 - 1182
国际标準期刊号0090-5364
语言英式英语

关键词adaptive designs; asymptotic normality; clinical trial; covariate information; generalized linear model; logistic regression
Web of Science 学科类别Mathematics; Statistics & Probability; STATISTICS & PROBABILITY