Rank-based regression with repeated measurements data

Journal Article (Journal Article)

A rank-based regression method is proposed for repeated measurements data. It is a generalisation of the classical Wilcoxon-Mann-Whitney rank statistic for independent observations. The method is valid under a weak condition on the error terms that can accommodate certain hetero-scedasticity and within-subject dependency. The asymptotic normality of the proposed estimator is proved using empirical process theory. A variance estimator, shown to be consistent, is also constructed. The proposed method is illustrated using data from a clinical trial on treating labour pain. Robustness and efficiency of the estimator is demonstrated in simulation studies.

Full Text

Duke Authors

Cited Authors

  • Jung, SH; Ying, Z

Published Date

  • September 1, 2003

Published In

Volume / Issue

  • 90 / 3

Start / End Page

  • 732 - 740

International Standard Serial Number (ISSN)

  • 0006-3444

Digital Object Identifier (DOI)

  • 10.1093/biomet/90.3.732

Citation Source

  • Scopus