Rank-based regression for analysis of repeated measures
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.
Year of publication: |
2006
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Authors: | Wang, You-Gan ; Zhu, Min |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 93.2006, 2, p. 459-464
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Publisher: |
Biometrika Trust |
Saved in:
Online Resource
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