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Multi-period crossover trials

J N Matthews1

  • 1Department of Medical Statistics, University of Newcastle upon Tyne, Medical School, UK.

Statistical Methods in Medical Research
|December 1, 1994
PubMed
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This review examines multi-period crossover designs in medical research, focusing on continuous outcomes and methods for analyzing carryover effects. It discusses practical designs and critiques common analytical models.

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Medical Research Methodology

Background:

  • Crossover designs are frequently used in medical research.
  • Designs with three or more treatment periods present unique analytical challenges.
  • Carryover effects can confound results in sequential treatment trials.

Purpose of the Study:

  • To review crossover designs for medical applications with three or more treatment periods.
  • To detail methods for analyzing data from such trials, including carryover effects.
  • To discuss the implications of a commonly used, yet criticized, analytical model.

Main Methods:

  • Literature review of crossover designs.
  • Analysis of methods for handling carryover effects.

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  • Examination of statistical models for sequential treatments.

    • Main Results:

    • Detailed review of designs accommodating carryover effects.
    • Discussion of analytical techniques for complex crossover trials.
    • Identification of shortcomings in current standard analytical models.

    Conclusions:

    • Effective crossover designs can mitigate carryover effects through adequate washout periods.
    • Critique of a widely used analytical model highlights the need for improved statistical approaches.
    • The paper emphasizes the importance of appropriate design and analysis for reliable medical research findings.