A Generalized Correlation Coefficient for the General Two-treatment Crossover Design

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Title:	A Generalized Correlation Coefficient for the General Two-treatment Crossover Design
Authors:	陳怡如;Vernon M. Chinichilli
Contributors:	淡江大學統計學系
Keywords:	Bootstrap;Correlation coefficient;Crossover design;U-Statistics;92B15
Date:	2008-08-03
Issue Date:	2011-10-13 13:43:09 (UTC+8)
Publisher:	Philadelphia: Taylor & Francis Inc.
Abstract:	This article extends the correlation methodology developed by Chinchilli et al. (2005) for the 2 × 2 crossover design to more complex crossover designs for clinical trials. We describe how the methodology can be adapted to a general type of two-treatment crossover design which includes either at least two sequences or at least two treatment periods or both. We then derive the asymptotic theory for the corresponding correlation statistics, investigate the statistical accuracy of the estimators via bootstrap analyses, and demonstrate their use with two real data examples.
Relation:	Communications in Statistics-Theory and Methods 39(11), pp.2063-2080
DOI:	10.1080/03610920902969026
Appears in Collections:	[Graduate Institute & Department of Statistics] Proceeding

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