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A mark-specific quantile regression model

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成果类型:
期刊论文
作者:
Qu, Lianqiang;Sun, Liuquan;Sun, Yanqing
通讯作者:
Sun, LQ
作者机构:
[Qu, Lianqiang] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.
[Sun, LQ; Sun, Liuquan] Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
[Sun, Yanqing] Univ North Carolina Charlotte, Dept Math & Stat, 9201 Univ City Blvd, Charlotte, NC 28223 USA.
通讯机构:
[Sun, LQ ] C
Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
语种:
英文
关键词:
Competing risk;Continuous mark;Hypothesis testing;Mark-specific quantile regression;Survival data;Vaccine efficacy
期刊:
BIOMETRIKA
ISSN:
0006-3444
年:
2024
卷:
111
期:
1
页码:
255-272
基金类别:
National Natural Science Foundation of China; National Institute of Allergy and Infectious Diseases; National Science Foundation
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
Quantile regression has become a widely used tool for analysing competing risk data. However, quantile regression for competing risk data with a continuous mark is still scarce. The mark variable is an extension of cause of failure in a classical competing risk model where cause of failure is replaced by a continuous mark only observed at uncensored failure times. An example of the continuous mark variable is the genetic distance that measures dissimilarity between the infecting virus and the virus contained in the vaccine construct. In this article, we propose a novel mark-specific quantile r...

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