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Nonparametric Quantile Inference for Cause-specific Residual Life Function Under Length-biased Sampling
Acta Mathematicae Applicatae Sinica, English Series ( IF 0.9 ) Pub Date : 2020-12-27 , DOI: 10.1007/s10255-020-0972-x
Fei-Peng Zhang , Cai-Yun Fan , Yong Zhou

This paper considers a competing risks model for right-censored and length-biased survival data from prevalent sampling. We propose a nonparametric quantile inference procedure for cause-specific residual life distribution with competing risks data. We also derive the asymptotic properties of the proposed estimators of this quantile function. Simulation studies and the unemployment data demonstrate the practical utility of the methodology.



中文翻译:

长度有偏采样下特定原因剩余寿命函数的非参数分位数推断

本文考虑了针对来自流行抽样的右删失和长度偏向生存数据的竞争风险模型。我们提出了一种非参数分位数推断程序,用于具有特定原因的剩余寿命分布以及竞争风险数据。我们还导出了该分位数函数的估计量的渐近性质。仿真研究和失业数据证明了该方法的实用性。

更新日期:2020-12-27
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