A new family of covariate-adjusted response adaptive designs and their properties 被引量：1

A new family of covariate-adjusted response adaptive designs and their properties

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摘要 It is often important to incorporate covariate information in the design of clinical trials. In literature there are many designs of using stratification and covariate-adaptive randomization to balance certain known covariate. Recently, some covariate-adjusted response-adaptive （CARA） designs have been proposed and their asymptotic properties have been studied （Ann. Statist. 2007）. However, these CARA designs usually have high variabilities. In this paper, a new family of covariate-adjusted response-adaptive （CARA） designs is presented. It is shown that the new designs have less variables and therefore are more efficient. It is often important to incorporate covariate information in the design of clinical trials. In literature there are many designs of using stratification and covariate-adaptive randomization to balance certain known covariate. Recently, some covariate-adjusted response-adaptive （CARA） designs have been proposed and their asymptotic properties have been studied （Ann. Statist. 2007）. However, these CARA designs usually have high variabilities. In this paper, a new family of covariate-adjusted response-adaptive （CARA） designs is presented. It is shown that the new designs have less variables and therefore are more efficient.

作者 ZHANG Li-Xin HU Fei-fang

机构地区 Institute of Statist. and Dept. of Math. Dept. of Statist.

出处《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2009年第1期1-13,共13页 高校应用数学学报（英文版）（B辑）

基金 Partially supported by the National Natural Science Foundation of China (10771192) NSF Awards DMS-0349048 of USA

关键词 adaptive design COVARIATE EFFICIENCY asymptotic variability adaptive design, covariate, efficiency, asymptotic variability

分类号 TP312 [自动化与计算机技术—计算机软件与理论] TQ028.8 [化学工程]

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