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A Class of Transformed Mean Residual Life Models With Censored Survival Data

文献类型：期刊论文

作者Sun, Liuquan1; Zhang, Zhigang2
刊名JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
出版日期2009-06-01
卷号104期号:486页码:803-815
关键词Censored survival data Estimating equation approach Inverse probability of censoring weighting Mean residual life Semiparametric efficiency Transformed models
ISSN号0162-1459
DOI10.1198/jasa.2009.0130
英文摘要The mean residual life function is an attractive alternative to the survival function or the hazard function of a survival time in practice. It provides the remaining life expectancy of a subject surviving Lip to time t. In this study. We propose a class of transformed mean residual life models for fitting survival data under right censoring. To estimate the model parameters. we make use of the inverse probability of censoring weighting approach and develop a system of estimating equations. Efficiency and robustness of the estimators are also studied. Both asymptotic and finite sample properties of the proposed estimators are established and the approach is applied to two real-life datasets collected from clinical trials.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000266461400034
出版者AMER STATISTICAL ASSOC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/8441]  
专题应用数学研究所
通讯作者Sun, Liuquan
作者单位1.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, New York, NY 10065 USA
推荐引用方式
GB/T 7714		 Sun, Liuquan,Zhang, Zhigang. A Class of Transformed Mean Residual Life Models With Censored Survival Data[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,2009,104(486):803-815.
APA Sun, Liuquan,&Zhang, Zhigang.(2009).A Class of Transformed Mean Residual Life Models With Censored Survival Data.JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,104(486),803-815.
MLA Sun, Liuquan,et al."A Class of Transformed Mean Residual Life Models With Censored Survival Data".JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 104.486(2009):803-815.

入库方式： OAI收割

来源：数学与系统科学研究院

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