Abstract
Abstract Crossover studies have been successfully conducted in the case of continuous responses. Existing procedures of analysis for ordinal responses, on the other hand, are rarely satisfactory unless strict, usually unrealistic, assumptions are made. In this paper we investigate a random effects model and show that the model is simple and general. Interpretation of parameters is easy, though with a complicated fitting procedure.
Keywords
CrossoverComputer scienceRandom effects modelOrdinal dataInterpretation (philosophy)Simple (philosophy)Ordinal regressionStatisticsCrossover studyEconometricsMathematicsArtificial intelligenceMachine learningMedicineMeta-analysis
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Publication Info
- Year
- 1991
- Type
- article
- Volume
- 10
- Issue
- 6
- Pages
- 901-907
- Citations
- 90
- Access
- Closed
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Cite This
Farkad Ezzet,
John Whitehead
(1991).
A random effects model for ordinal responses from a crossover trial.
Statistics in Medicine
, 10
(6)
, 901-907.
https://doi.org/10.1002/sim.4780100611
Identifiers
- DOI
- 10.1002/sim.4780100611