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Response Adaptive Designs with Misclassified Responses
Authors:Xuan Li  Xikui Wang
Institution:1. Department of Mathematics and Statistics , University of Minnesota Duluth , Duluth , Minnesota , USA xuanli@d.umn.edu;3. Department of Statistics , University of Manitoba , Winnipeg , Manitoba , Canada
Abstract:We consider response adaptive designs when the binary response may be misclassified and extend relevant results in the literature. We derive the optimal allocations under various objectives and examine the relationship between the power of statistical test and the variability of treatment allocation. Asymptotically best response adaptive randomization procedures and effects of misclassification on the optimal allocations are investigated. A real-life clinical trial is also discussed to illustrate our proposed approach.
Keywords:Misclassification  Optimal allocation  Power  Response adaptive designs
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