标题： 一种新的协变量调整响应适应性设计及其渐近性质 显示英文标题

标题： A New Family of Covariate-Adjusted Response Adaptive Designs and their Asymptotic Properties

摘要： 在临床试验的设计中，常常需要纳入协变量信息。文献中有很多利用分层和协变量适应性随机化来平衡某些已知协变量的设计。最近，Zhang、Hu、Cheung 和 Chan（2007）提出了一类协变量调整的响应适应（CARA）设计，并研究了它们的渐近性质。然而，这些CARA设计往往具有较高的变异性。本文提出了一类新的协变量调整的响应适应（CARA）设计。我们证明了新设计的变异性更小，因此效率更高。 显示英文摘要

摘要： It is often important to incorporating covariate information in the design of clinical trials. In literature, there are many designs of using stratification and covariate-adaptive randomization to balance on certain known covariate. Recently Zhang, Hu, Cheung and Chan (2007) have proposed a family of covariate-adjusted response-adaptive (CARA) designs and studied their asymptotic properties. However, these CARA designs often have high variabilities. In this paper, we propose a new family of covariate-adjusted response-adaptive (CARA) designs. We show that the new designs have smaller variabilities and therefore more efficient.