Multivariate nonparametric analysis for the two-period crossover design with application in clinical trials.

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.

journal_name

J Biopharm Stat

authors

Johnson WD,Grender JM

doi

10.1080/10543409308835045

subject

Has Abstract

pub_date

1993-03-01 00:00:00

pages

1-12

issue

1

eissn

1054-3406

issn

1520-5711

journal_volume

3

pub_type

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