Multivariate nonparametric analysis for the two-period crossover design with application in clinical trials.
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.
Johnson
W D
WD
Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112-1393.
Grender
J M
JM
D002986:Clinical Trials as Topic / Q000379:methods / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D015999:Multivariate Analysis; D016032:Randomized Controlled Trials as Topic / Q000379:methods / Q000706:statistics & numerical data