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http://dx.doi.org/10.5351/CKSS.2012.19.6.781

Nonparametric Tests for 2×2 Cross-Over Design  

Gee, Kyuhoon (Department of Biostatistics, The Catholic University of Korea)
Kim, Dongjae (Department of Biostatistics, The Catholic University of Korea)
Publication Information
Communications for Statistical Applications and Methods / v.19, no.6, 2012 , pp. 781-791 More about this Journal
Abstract
A $2{\times}2$ Cross-over design is widely used in clinical trials for comparison studies of two kinds of drugs or medical treatments. This design has many statistical methods such as Hills-Armitage's (1979) method or Koch's (1972) method. In this paper, we propose a nonparametric test for $2{\times}2$ Cross-over design based on a two-sample test suggested by Baumgartner et al. (1998). In addition, a Monte Carlo simulation study is adapted to compare the power of the proposed methods with those of previous methods.
Keywords
Cross-over design; two-sample tests; nonparametric; comparison of power;
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