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Adaptive Crossover Design for Normal Responses

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  • Uttam Bandyopadhyay
  • Shirsendu Mukherjee

Abstract

In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achive a specific goal. In clinical trials our goal is to allocate a larger number of patients to the better treatment. In the present paper, we use a response adaptive design in a two-treatment two-period crossover trial where the treatment responses are continuous. We provide probability measures to choose between the possible treatment combinations AA, AB, BA, or BB. The goal is to use the better treatment combination a larger number of times. We calculate the allocation proportions to the possible treatment combinations and their standard errors. We also derive some asymptotic results and provide solutions on related inferential problems. The proposed procedure is compared with a possible competitor. Finally, we use a data set to illustrate the applicability of our proposed design.

Suggested Citation

  • Uttam Bandyopadhyay & Shirsendu Mukherjee, 2015. "Adaptive Crossover Design for Normal Responses," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(7), pages 1466-1482, April.
    • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:7:p:1466-1482
    DOI: 10.1080/03610926.2013.763509
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    Cited by:

    1. Suryasish Chatterjee & Uttam Bandyopadhyay, 2017. "Three-period, two-treatment crossover design under long-term carryover effect," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 71(4), pages 263-285, November.

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