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Related Experiment Videos

A random effects model for ordinal responses from a crossover trial.

F Ezzet1, J Whitehead

  • 1Medical Department, Ciba-Geigy AG, Basel, Switzerland.

Statistics in Medicine
|June 1, 1991
PubMed
Summary

This study introduces a new random effects model for ordinal responses in crossover studies. The model offers a simple, general approach with easy interpretation, overcoming limitations of existing methods.

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Ordinal Data Analysis

Background:

  • Crossover studies are common for continuous data but pose challenges for ordinal responses.
  • Current analysis methods for ordinal data in crossover trials often require unrealistic assumptions.
  • There is a need for more flexible and practical analytical approaches.

Purpose of the Study:

  • To propose and evaluate a novel random effects model for analyzing ordinal responses in crossover studies.
  • To demonstrate the simplicity and generality of the proposed model.
  • To facilitate easier interpretation of parameters compared to existing methods.

Main Methods:

  • Development of a random effects model tailored for ordinal outcomes in crossover designs.
  • Investigation of the model's theoretical properties and applicability.

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  • Exploration of the parameter interpretation within the proposed framework.

    • Main Results:

    • The proposed random effects model is shown to be both simple and general.
    • The model allows for straightforward interpretation of its parameters.
    • While the fitting procedure is complex, the model's structure offers significant advantages.

    Conclusions:

    • The developed random effects model provides a valuable and flexible tool for ordinal response analysis in crossover studies.
    • This approach overcomes the limitations of traditional methods that rely on stringent assumptions.
    • Further research may focus on refining the fitting procedures for wider adoption.