Semiparametric Proportional Mean Residual Life Model With Censoring Indicators Missing at Random | |
Chen, Xiaolin1; Wang, Qihua2,3 | |
刊名 | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS |
2015 | |
卷号 | 44期号:24页码:5161-5188 |
关键词 | censored data kernel smoothing mean residual life missing censoring indicators weighted estimating equations |
ISSN号 | 0361-0926 |
DOI | 10.1080/03610926.2013.879894 |
英文摘要 | For right-censored survival data, the information that whether the observed time is survival or censoring time is frequently lost. This is the case for the competing risk data. In this article, we consider statistical inference for the right-censored survival data with censoring indicators missing at random under the proportional mean residual life model. Simple and augmented inverse probability weighted estimating equation approaches are developed, in which the nonmissingness probability and some unknown conditional expectations are estimated by the kernel smoothing technique. The asymptotic properties of all the proposed estimators are established, while extensive simulation studies demonstrate that our proposed methods perform well under the moderate sample size. At last, the proposed method is applied to a data set from a stage II breast cancer trial. |
资助项目 | National Natural Science Foundation of China[11201484] ; National Natural Science Foundation of China[11326184] ; National Natural Science Foundation of China[11501573] ; National Natural Science Foundation of China[61402534] ; National Natural Science Foundation of China[11171331] ; National Natural Science Foundation of China[11331011] ; Fundamental Research Funds for the Central Universities ; National Science Fund for Distinguished Young Scholars in China[10725106] ; Key Lab of Random Complex Structure and Data Science, CAS ; Natural Science Foundation of SZU |
WOS研究方向 | Mathematics |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS INC |
WOS记录号 | WOS:000366397900005 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/21479] |
专题 | 应用数学研究所 |
通讯作者 | Chen, Xiaolin |
作者单位 | 1.China Univ Petr, Coll Sci, Qingdao 266580, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 3.Shenzhen Univ, Inst Stat Sci, Shenzhen, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Xiaolin,Wang, Qihua. Semiparametric Proportional Mean Residual Life Model With Censoring Indicators Missing at Random[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2015,44(24):5161-5188. |
APA | Chen, Xiaolin,&Wang, Qihua.(2015).Semiparametric Proportional Mean Residual Life Model With Censoring Indicators Missing at Random.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,44(24),5161-5188. |
MLA | Chen, Xiaolin,et al."Semiparametric Proportional Mean Residual Life Model With Censoring Indicators Missing at Random".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 44.24(2015):5161-5188. |
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