Statistical Science

Nonparametric Approaches to the Analysis of Crossover Studies

Mary E. Putt and Vernon M. Chinchilli

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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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Statist. Sci., Volume 19, Number 4 (2004), 712-719.

First available in Project Euclid: 18 April 2005

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Crossover clinical trials nonparametrics rank-based statistics


Putt, Mary E.; Chinchilli, Vernon M. Nonparametric Approaches to the Analysis of Crossover Studies. Statist. Sci. 19 (2004), no. 4, 712--719. doi:10.1214/088342304000000611.

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