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Biometrika 2006 93(2):459-464; doi:10.1093/biomet/93.2.459
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© 2006 Biometrika Trust

Miscellanea

Rank-based regression for analysis of repeated measures

You-Gan Wang and Min Zhu

CSIRO Mathematical and Information Sciences, Leeuwin Centre, 65 Brockway Road, Floreat, Western Australia 6014, Australia. you-gan.wang{at}csiro.au, min.zhu{at}csiro.au

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.

Key Words: Bootstrap; Covariance model; Dependent data; Estimating function; Longitudinal data; Rank estimation; Repeated measures; Wilcoxon method.

Received December 2004. Revised November 2005.


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