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Multivariate nonparametric analysis for the two-period crossover design with application in clinical trials
1Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393.
Abstract:
Nonparametric methods are presented for the analysis of the two-treatment, two-period crossover design with multivariate response. After forming within-subject sums and differences, the usual tests, including those for carry-over effects and direct treatment effects, can be constructed using a multivariate analysis of variance. When the assumptions relevant to traditional analysis are in question, multivariate nonparametric tests based on ranks provide a realistic alternative. However, multivariate response gives rise to a wider class of hypotheses than is seen in crossover designs with univariate response. We discuss these hypotheses and formulate nonparametric tests for associated analyses.
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