## Statistical Science

### Nonparametric Approaches to the Analysis of Crossover Studies

#### 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.

#### Article information

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

Dates
First available in Project Euclid: 18 April 2005

https://projecteuclid.org/euclid.ss/1113832735

Digital Object Identifier
doi:10.1214/088342304000000611

Mathematical Reviews number (MathSciNet)
MR2196197

Zentralblatt MATH identifier
1100.62568

#### Citation

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. https://projecteuclid.org/euclid.ss/1113832735

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