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Transformed linear quantile regression with censored survival data
Miao, Rui1; Sun, Liuquan1; Tian, Guo-Liang2
2016
发表期刊STATISTICS AND ITS INTERFACE
ISSN1938-7989
卷号9期号:2页码:131-139
摘要Quantile regression provides a flexible method for analyzing survival data, and attracts considerable interest in survival analysis. In this article, we propose a new inference procedure for a class of power-transformed linear quantile regression models with survival data subject to conditionally independent censoring, and present a two-stage algorithm that is computationally simple and easy to implement. Consistency and asymptotic normality of the resulting estimators are established, and a simple resampling-based inference procedure is developed for variance estimation. The finite-sample behavior of the proposed methods is examined through extensive simulation studies. An application to a real data example from a health maintenance organization is provided.
关键词Censored survival data Box-Cox transformation Martingale Quantile regression Resampling
语种英语
资助项目National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11171330] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; BCMIIS
WOS研究方向Mathematical & Computational Biology ; Mathematics
WOS类目Mathematical & Computational Biology ; Mathematics, Interdisciplinary Applications
WOS记录号WOS:000371192600001
出版者INT PRESS BOSTON, INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/22189
专题应用数学研究所
通讯作者Sun, Liuquan
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
2.Univ Hong Kong, Dept Stat & Actuarial Sci, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China
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Miao, Rui,Sun, Liuquan,Tian, Guo-Liang. Transformed linear quantile regression with censored survival data[J]. STATISTICS AND ITS INTERFACE,2016,9(2):131-139.
APA Miao, Rui,Sun, Liuquan,&Tian, Guo-Liang.(2016).Transformed linear quantile regression with censored survival data.STATISTICS AND ITS INTERFACE,9(2),131-139.
MLA Miao, Rui,et al."Transformed linear quantile regression with censored survival data".STATISTICS AND ITS INTERFACE 9.2(2016):131-139.
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