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Composite partial likelihood estimation for length-biased and right-censored data with competing risks
Zhang, Feipeng1; Peng, Heng2; Zhou, Yong3,4
2016-07-01
Source PublicationJOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
Volume149Pages:160-176
AbstractThis paper considers a competing risks model for survival data from length-biased sampling, where the survival times are left truncated by uniformly distributed random truncation times. We propose a composite partial likelihood estimating procedure for cause-specific failure probabilities using competing risks data. We establish the asymptotic properties of the proposed estimators, and present predictions of the cumulative incidence functions. Furthermore, we show how to construct simultaneous confidence bands for the cause-specific cumulative incidence functions for subjects with given risk factors. A simulation study demonstrates that the proposed estimators have good finite-sample performance. A real data example illustrates the method and the theory. (C) 2016 Elsevier Inc. All rights reserved.
KeywordCompeting risks Cumulative incidence function Composite partial likelihood Length-biased and right censored data Resampling
DOI10.1016/j.jmva.2016.04.002
Language英语
Funding ProjectNational Natural Science Foundation of China (NSFC)[11401194] ; National Natural Science Foundation of China (NSFC)[71271128] ; Fundamental Research Funds for the Central Universities[531107050739] ; CERG grants by the Research Grants Council of Hong Kong[HKBU 202012] ; CERG grants by the Research Grants Council of Hong Kong[HKBU 12302615] ; FRG grants from Hong Kong Baptist University[FRG2/12-13/077] ; FRG grants from Hong Kong Baptist University[FRG2/14-15/064] ; NSF of CHINA[10871054] ; National Natural Science Foundation of China[71331006] ; National Natural Science Foundation of China[91546202] ; NCMIS, Key Laboratory of RCSDS, AMSS, CAS[2008DP173182] ; Shanghai First-class Discipline A, Program for Changjiang Scholars (PCSIRT) and Innovative Research Team in Shanghai University of Finance and Economics[SUFEIRT13077]
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000378015700011
PublisherELSEVIER INC
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/22914
Collection应用数学研究所
Corresponding AuthorPeng, Heng
Affiliation1.Hunan Univ, Sch Finance & Stat, Changsha 410082, Hunan, Peoples R China
2.Hong Kong Baptist Univ, Dept Math, Hong Kong, Hong Kong, Peoples R China
3.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Feipeng,Peng, Heng,Zhou, Yong. Composite partial likelihood estimation for length-biased and right-censored data with competing risks[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2016,149:160-176.
APA Zhang, Feipeng,Peng, Heng,&Zhou, Yong.(2016).Composite partial likelihood estimation for length-biased and right-censored data with competing risks.JOURNAL OF MULTIVARIATE ANALYSIS,149,160-176.
MLA Zhang, Feipeng,et al."Composite partial likelihood estimation for length-biased and right-censored data with competing risks".JOURNAL OF MULTIVARIATE ANALYSIS 149(2016):160-176.
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