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Estimation and confidence bands of a conditional survival function with censoring indicators missing at random
Wang, Qihua1,2; Shen, Junshan3,4
2008-05-01
发表期刊JOURNAL OF MULTIVARIATE ANALYSIS
ISSN0047-259X
卷号99期号:5页码:928-948
摘要The nonparametric estimator of the conditional survival function proposed by Beran is a useful tool to evaluate the effects of covariates in the presence of random right censoring. However, censoring indicators of right censored data may be missing for different reasons in many applications. We propose some estimators of the conditional cumulative hazard and survival functions which allow to handle this situation. We also construct the likelihood ratio confidence bands for them and obtain their asymptotic properties. Simulation studies are used to evaluate the performances of the estimators and their confidence bands. (C) 2007 Elsevier Inc. All rights reserved.
关键词kernel regression confidence bands empirical likelihood missing at random random censorship
DOI10.1016/j.jmva.2007.06.002
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000255291900009
出版者ELSEVIER 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/6452
专题应用数学研究所
通讯作者Wang, Qihua
作者单位1.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
3.Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China
4.Peking Univ, LMAM, Beijing 100871, Peoples R China
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Wang, Qihua,Shen, Junshan. Estimation and confidence bands of a conditional survival function with censoring indicators missing at random[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2008,99(5):928-948.
APA Wang, Qihua,&Shen, Junshan.(2008).Estimation and confidence bands of a conditional survival function with censoring indicators missing at random.JOURNAL OF MULTIVARIATE ANALYSIS,99(5),928-948.
MLA Wang, Qihua,et al."Estimation and confidence bands of a conditional survival function with censoring indicators missing at random".JOURNAL OF MULTIVARIATE ANALYSIS 99.5(2008):928-948.
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