文章基本信息

标题：Optimal biased coins for two-arm clinical trials
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作者：Thomas Gwise ; Feifang Hu ; Jianhua Hu 等
期刊名称：Statistics and Its Interface
印刷版ISSN：1938-7989
电子版ISSN：1938-7997
出版年度：2008
卷号：1
期号：1
页码：125-135
DOI：10.4310/SII.2008.v1.n1.a11
出版社：International Press
摘要：Atkinson (1982) introduced $D$-optimal and $D_A$-optimal biased coin designs to achieve balanced allocation. In this paper, we relax the restrictive assumptions on Atkinson’s design so that it can be applied to more realistic situations of heteroscedastic data for two-arm clinic trials. A new class of adaptive biased coin designs is obtained. Further, we derive the asymptotic properties of the proposed allocation procedures, and show that the allocation targets maximizing power via a direct connection to Neyman’s allocation scheme. Simulation studies illustrate that the theoretical results are valid and that the proposed design has testing power that is superior to that of the completely randomized allocation scheme.
关键词：adaptive design; $D$-optimal biased coin; $D_A$-optimal biased coin; response adaptive design; continuous responses; binary responses