SIMEX method for censored quantile regression with measurement error

被引：3
|
作者：
Mao, Guangcai [1 ]
Wei, Yi [1 ]
Liu, Yanyan [1 ]
机构：
[1] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2017年 / 46卷 / 10期
基金：
美国国家科学基金会;
关键词：
Measurement error; Quantile regression; SIMEX method; Survival data; LINEAR-REGRESSION; MODELS;
D O I：
10.1080/03610918.2016.1242731
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Censored quantile regression serves as an important supplement to the Cox proportional hazards model in survival analysis. In addition to being exposed to censoring, some covariates may subject to measurement error. This leads to substantially biased estimate without taking this error into account. The SI Mutation-Extrapolation (SIMEX) method is an effective tool to handle the measurement error issue. We extend the SIMEX approach to the censored quantile regression with covariate measurement error. The algorithm is assessed via extensive simulations. A lung cancer study is analyzed to verify the validation of the proposed method.
引用
收藏
页码：7552 / 7560
页数：9
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