Empirical likelihood and quantile regression in longitudinal data analysis

Cheng Yong Tang and Chenlei Leng

Biometrika, 2011, vol. 98, issue 4, 1001-1006

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. Copyright 2011, Oxford University Press.

Date: 2011
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