Rank-based regression for analysis of repeated measures

Wang, You-Gan & Zhu, Min (2006) Rank-based regression for analysis of repeated measures. Biometrika, 93(2), pp. 459-464.

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We consider rank-based regression models for repeated measures. To account for possible withinsubject 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.

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14 citations in Web of Science®

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ID Code: 90484
Item Type: Journal Article
Refereed: Yes
Keywords: bootstrap, covariance model, dependent data, estimating function, longitudinal data, rank estimation, repeated measures, Wilcoxon method, quasi-likelihood, misspecification, models
DOI: 10.1093/biomet/93.2.459
ISSN: 0006-3444
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 18 Nov 2015 02:05
Last Modified: 19 Nov 2015 23:48

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