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具有区间删失数据的中位数回归模型。

Median regression model with interval censored data.

作者信息

Kim Yang-J, Cho Hyungjun, Kim Jinheum, Jhun Myoungshic

机构信息

Department of Statistics, Sookmyung Women' University, Seoul 140-7421, Korea.

出版信息

Biom J. 2010 Apr;52(2):201-8. doi: 10.1002/bimj.200900111.

Abstract

Quantile regression methods have been used to estimate upper and lower quantile reference curves as the function of several covariates. Especially, in survival analysis, median regression models to the right-censored data are suggested with several assumptions. In this article, we consider a median regression model for interval-censored data and construct an estimating equation based on weights derived from interval-censored data. In a simulation study, the performances of the proposed method are evaluated for both symmetric and right-skewed distributed failure times. A well-known breast cancer data are analyzed to illustrate the proposed method.

摘要

分位数回归方法已被用于估计作为多个协变量函数的上下分位数参考曲线。特别是在生存分析中,针对右删失数据的中位数回归模型在若干假设下被提出。在本文中,我们考虑区间删失数据的中位数回归模型,并基于从区间删失数据导出的权重构建一个估计方程。在一项模拟研究中,针对对称分布和右偏分布的失效时间评估了所提方法的性能。分析了一个著名的乳腺癌数据以说明所提方法。

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