Implementing optimal allocation for sequential continuous responses with multiple treatments

被引:17
|
作者
Zhu, Hongjian [1 ]
Hu, Feifang [1 ]
机构
[1] Univ Virginia, Dept Stat, Charlottesville, VA 22903 USA
基金
美国国家科学基金会;
关键词
Clinical trial; Optimal allocation; Response-adaptive design; Power; Exponential responses; Multiple treatments;
D O I
10.1016/j.jspi.2008.11.003
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In practice, it is important to find optimal allocation strategies for continuous response with multiple treatments under some optimization criteria. In this article, we focus on exponential responses. For a multivariate test of homogeneity, we obtain the optimal allocation strategies to maximize power while (1) fixing sample size and (2) fixing expected total responses. Then the doubly adaptive biased coin design [Hu, F., Zhang, L-X, 2004. Asymptotic properties of doubly adaptive biased coin designs for multi-treatment clinical trials. The Annals of Statistics 21, 268-301] is used to implement the optimal allocation strategies. Simulation results show that the proposed procedures have advantages over complete randomization with respect to both inferential (power) and ethical standpoints on average. It is important to note that one can usually implement optimal allocation strategies numerically for other continuous responses, though it is usually not easy to get the closed form of the optimal allocation theoretically. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:2420 / 2430
页数:11
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