Journal
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Volume 42, Issue 11, Pages 2071-2083Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610926.2011.602488
Keywords
Misclassification; Optimal allocation; Power; Response adaptive designs; 62L05; 62P10
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Funding
- Natural Sciences and Engineering Research Council (NSERC) of Canada
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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.
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