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Crossover design in clinical trials for binary response

Author

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  • Uttam Bandyopadhyay
  • Joydeep Basu
  • Ganesh Dutta

Abstract

In this paper, we consider a binary response model for the analysis of the two-treatment, two-period and four-sequence crossover design. We have introduced intra-patient drug dependency parameter in the model and provide two tests for the hypothesis of equality of treatment effects. We employ Monte Carlo simulation to compare our tests and a test that works under parallel design on the basis of type I error rate and power. We find that our procedures are dominant over the competitor with respect to power. Finally, we use a data set to illustrate the applicability of our procedure.

Suggested Citation

  • Uttam Bandyopadhyay & Joydeep Basu & Ganesh Dutta, 2015. "Crossover design in clinical trials for binary response," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(10), pages 2100-2114, October.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:10:p:2100-2114
    DOI: 10.1080/02664763.2015.1018675
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    References listed on IDEAS

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    1. Biswas, Atanu & Hwang, Jing-Shiang, 2002. "A new bivariate binomial distribution," Statistics & Probability Letters, Elsevier, vol. 60(2), pages 231-240, November.
    2. Uttam Bandyopadhyay & Atanu Biswas & Shirsendu Mukherjee, 2007. "Adaptive two‐treatment two‐period crossover design for binary treatment responses," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 61(3), pages 329-344, August.
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