期刊
BIOMETRIKA
卷 98, 期 4, 页码 1001-1006出版社
OXFORD UNIV PRESS
DOI: 10.1093/biomet/asr050
关键词
Auxiliary information; Empirical likelihood; Estimating equation; Longitudinal data analysis; Quadratic inference function; Quantile regression
资金
- National University of Singapore
- National University of Singapore Risk Management Institute
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.
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