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Empirical likelihood and quantile regression in longitudinal data analysis
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Tang, C. Y. and Leng, Chenlei (2011) Empirical likelihood and quantile regression in longitudinal data analysis. Biometrika, Volume 98 (Number 4). pp. 1001-1006. doi:10.1093/biomet/asr050 ISSN 0006-3444.
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Official URL: http://dx.doi.org/10.1093/biomet/asr050
Abstract
We propose a novel quantile regression approach for longitudinal data analysis which naturally incorporates auxiliary information from the conditional mean model to account for within-subject correlations. The efficiency gain is quantified theoretically and demonstrated empirically via simulation studies and the analysis of a real dataset.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Journal or Publication Title: | Biometrika | ||||
Publisher: | Biometrika Trust | ||||
ISSN: | 0006-3444 | ||||
Official Date: | 14 October 2011 | ||||
Dates: |
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Volume: | Volume 98 | ||||
Number: | Number 4 | ||||
Number of Pages: | 5 | ||||
Page Range: | pp. 1001-1006 | ||||
DOI: | 10.1093/biomet/asr050 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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