中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Empirical-likelihood-based serniparametric inference for the treatment effect in the two-sample problem with censoring

文献类型:期刊论文

作者Zhou, Y; Liang, H
刊名BIOMETRIKA
出版日期2005-06-01
卷号92期号:2页码:271-282
关键词confidence interval coverage empirical likelihood function empirical likelihood ratio estimating equation Kaplan-Meier estimation
ISSN号0006-3444
英文摘要To compare two samples of censored data, we propose a unified method of semiparametric inference for the parameter of interest when the model for one sample is parametric and that for the other is nonparametric. The parameter of interest may represent, for example, a comparison of means, or survival probabilities. The confidence interval derived from the semiparametric inference, which is based on the empirical likelihood principle, improves its counterpart constructed from the common estimating equation. The empirical likelihood ratio is shown to be asymptotically chi-squared. Simulation experiments illustrate that the method based on the empirical likelihood substantially outperforms the method based on the estimating equation. A real dataset is analysed.
WOS研究方向Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
语种英语
WOS记录号WOS:000230293000002
出版者OXFORD UNIV PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/1591]  
专题应用数学研究所
通讯作者Zhou, Y
作者单位1.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
2.St Jude Childrens Res Hosp, Dept Biostat, Memphis, TN 38105 USA
推荐引用方式
GB/T 7714
Zhou, Y,Liang, H. Empirical-likelihood-based serniparametric inference for the treatment effect in the two-sample problem with censoring[J]. BIOMETRIKA,2005,92(2):271-282.
APA Zhou, Y,&Liang, H.(2005).Empirical-likelihood-based serniparametric inference for the treatment effect in the two-sample problem with censoring.BIOMETRIKA,92(2),271-282.
MLA Zhou, Y,et al."Empirical-likelihood-based serniparametric inference for the treatment effect in the two-sample problem with censoring".BIOMETRIKA 92.2(2005):271-282.

入库方式: OAI收割

来源:数学与系统科学研究院

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