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.
Original language | English (US) |
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Pages (from-to) | 712-719 |
Number of pages | 8 |
Journal | Statistical Science |
Volume | 19 |
Issue number | 4 |
DOIs | |
State | Published - Nov 2004 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- General Mathematics
- Statistics, Probability and Uncertainty