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L. Peng and Y. Huang, “Survival Analysis with Quantile Regression Models,” Journal of the American Statistical Association, Vol. 103, No. 482, 2008, pp. 637-649. doi:10.1198/016214508000000355
has been cited by the following article:
TITLE: Composite Quantile Regression for Nonparametric Model with Random Censored Data
AUTHORS: Rong Jiang, Weimin Qian
KEYWORDS: Kaplan-Meier Estimator; Censored Data; Composite Quantile Regression; Kernel Estimator; Nonparametric Model
JOURNAL NAME: Open Journal of Statistics, Vol.3 No.2, April 18, 2013
ABSTRACT: The composite quantile regression should provide estimation efficiency gain over a single quantile regression. In this paper, we extend composite quantile regression to nonparametric model with random censored data. The asymptotic normality of the proposed estimator is established. The proposed methods are applied to the lung cancer data. Extensive simulations are reported, showing that the proposed method works well in practical settings.
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