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Empirical-likelihood-based serniparametric inference for the treatment effect in the two-sample problem with censoring
Zhou, Y; Liang, H
2005-06-01
发表期刊BIOMETRIKA
ISSN0006-3444
卷号92期号:2页码:271-282
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.
关键词confidence interval coverage empirical likelihood function empirical likelihood ratio estimating equation Kaplan-Meier estimation
语种英语
WOS研究方向Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics
WOS类目Biology ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000230293000002
出版者OXFORD UNIV PRESS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/1592
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
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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.
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