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Empirical likelihood and quantile regression in longitudinal data analysis

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. Copyright 2011, Oxford University Press.
Year of publication:
2011
Authors: Tang, Cheng Yong ; Leng, Chenlei
Published in:
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 98.2011, 4, p. 1001-1006
Publisher: Biometrika Trust
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10010613188
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