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https://doi.org/10.1093/biomet/asr050
| Title: | Empirical likelihood and quantile regression in longitudinal data analysis | Authors: | Tang, C.Y. Leng, C. |
Keywords: | Auxiliary information Empirical likelihood Estimating equation Longitudinal data analysis Quadratic inference function Quantile regression |
Issue Date: | Dec-2011 | Citation: | Tang, C.Y., Leng, C. (2011-12). Empirical likelihood and quantile regression in longitudinal data analysis. Biometrika 98 (4) : 1001-1006. ScholarBank@NUS Repository. https://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. © 2011 Biometrika Trust. | Source Title: | Biometrika | URI: | http://scholarbank.nus.edu.sg/handle/10635/105114 | ISSN: | 00063444 | DOI: | 10.1093/biomet/asr050 |
| Appears in Collections: | Staff Publications |
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