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Response Adaptive Designs with a Variance‐penalized Criterion
Authors:Yanqing Yi  Xikui Wang
Institution:1. Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada A1B 3V6;2. Department of Statistics, University of Manitoba, Winnipeg, Manitoba, Canada R3T 2N2
Abstract:We consider a response adaptive design of clinical trials with a variance‐penalized criterion. It is shown that this criterion evaluates the performance of a response adaptive design based on both the number of patients assigned to the better treatment and the power of the statistical test. A new proportion of treatment allocation is proposed and the doubly biased coin procedure is used to target the proposed proportion. Under reasonable assumptions, the proposed design is demonstrated to generate an asymptotic variance of allocation proportions, which is smaller than that of the drop‐the‐loser design. Simulation comparisons of the proposed design with some existing designs are presented.
Keywords:Clinical trials  Doubly adaptive biased coin design  Power  Response adaptive designs  Variance‐penalized criterion
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