Response adaptive designs with misclassified responses

Xuan Li, Xikui Wang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)2071-2083
Number of pages13
JournalCommunications in Statistics - Theory and Methods
Issue number11
StatePublished - Jun 1 2013


  • Misclassification
  • Optimal allocation
  • Power
  • Response adaptive designs

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