Rank-based regression for analysis of repeated measures

Wang, You-Gan and Zhu, Min (2006) Rank-based regression for analysis of repeated measures. Biometrika, 93 2: 459-464. doi:10.1093/biomet/93.2.459

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Author Wang, You-Gan
Zhu, Min
Title Rank-based regression for analysis of repeated measures
Journal name Biometrika   Check publisher's open access policy
ISSN 0006-3444
1464-3510
Publication date 2006-06
Sub-type Article (original research)
DOI 10.1093/biomet/93.2.459
Volume 93
Issue 2
Start page 459
End page 464
Total pages 6
Place of publication Oxford, England, United Kingdom
Publisher Oxford University Press
Language eng
Abstract We consider rank-based regression models for repeated measures. To account for possible within subject correlations, we decompose the total ranks into between -and within-subject ranks and obtain two different estimators based on between- and within-subject ranks. A simple perturbation method is then introduced to generate bootstrap replicates of the estimating functions and the parameter estimates. This provides a convenient way for combining the corresponding two types of estimating function for more efficient estimation.
Keyword Bootstrap
Covariance model
Dependent data
Estimating function
Longitudinal data
Rank estimation
Repeated measures
Wilcoxon method
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 17 times in Scopus Article | Citations
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Created: Wed, 17 Nov 2010, 14:12:09 EST