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The Comparison of Success Rates in Cross‐Over Trials in the Presence of an Order Effect

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  • R. J. Prescott

Abstract

The most commonly used methods for testing the significance of differences between treatments in a cross‐over clinical trial with a binary response utilize only those patients responding differently to the two treatments. A method of analysis is proposed in which the data from all patients are utilized. Simulations suggest that in the usual experimental setting the proposed test is more powerful than those currently in use.

Suggested Citation

  • R. J. Prescott, 1981. "The Comparison of Success Rates in Cross‐Over Trials in the Presence of an Order Effect," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 30(1), pages 9-15, March.
    • Handle: RePEc:bla:jorssc:v:30:y:1981:i:1:p:9-15
    DOI: 10.2307/2346652
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    Cited by:

    1. Uttam Bandyopadhyay & Atanu Biswas & Shirsendu Mukherjee, 2009. "Adaptive two-treatment two-period crossover design for binary treatment responses incorporating carry-over effects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 13-33, March.
    2. Wei Wang & Ning Cong & Tian Chen & Hui Zhang & Bo Zhang, 2019. "A note on misspecification in general linear models with correlated errors for the analysis of crossover clinical trials," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.

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