Rank-based regression for analysis of repeated measures
You-Gan Wang and
Min Zhu
Biometrika, 2006, vol. 93, issue 2, 459-464
Abstract:
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. Copyright 2006, Oxford University Press.
Date: 2006
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