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November 2004 Nonparametric Approaches to the Analysis of Crossover Studies
Mary E. Putt, Vernon M. Chinchilli
Statist. Sci. 19(4): 712-719 (November 2004). DOI: 10.1214/088342304000000611

Abstract

We illustrate nonparametric, and particularly rank-based analyses of crossover studies, designs in which each subject receives more than one treatment over time. Principles involved in using the Wilcoxon rank sum test in the simple two-period, two-treatment crossover are described through theory and example. We then extend the ideas to two-treatment designs with more than two periods and to three-treatment, three-period designs. When more than one nonparametric approach is available, we consider the issue of statistical power in choosing an appropriate test.

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Mary E. Putt. Vernon M. Chinchilli. "Nonparametric Approaches to the Analysis of Crossover Studies." Statist. Sci. 19 (4) 712 - 719, November 2004. https://doi.org/10.1214/088342304000000611

Information

Published: November 2004
First available in Project Euclid: 18 April 2005

zbMATH: 1100.62568
MathSciNet: MR2196197
Digital Object Identifier: 10.1214/088342304000000611

Rights: Copyright © 2004 Institute of Mathematical Statistics

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Vol.19 • No. 4 • November 2004
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