Empirical likelihood method for multivariate Cox regression

Empirical likelihood method for multivariate Cox regression
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多元 Cox 回归的经验似然法

DOI:
10.1007/s00180-012-0348-7
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发表时间:
2013-06
影响因子:
1.3
通讯作者:
Wen Yu
Wen Yu
中科院分区:
数学4区
文献类型:
--
作者:
Ming Zheng;Wen Yu

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提出了一种统一的经验似然方法,用于处理多个事件时间、复发事件时间和聚类事件时间的三个考克斯型边际模型。结果表明,所得到的对数经验似然比检验统计量具有……(原文此处“ch”不完整)
A unified empirical likelihood approach for three Cox-type marginal models dealing with multiple event times, recurrent event times and clustered event times is proposed. The resulting log-empirical likelihood ratio test statistics are shown to possess chi-squared limiting distributions. When making inferences, there is no need to solve estimating equations nor to estimate limiting covariance matrices. The optimal linear combination property for over-identified empirical likelihood is preserved by the proposed method and the property can be used to improve estimation efficiency. In addition, an adjusted empirical likelihood approach is applied to reduce the error rates of the proposed empirical likelihood ratio tests. The adjusted empirical likelihood tests could outperform the existing Wald tests for small to moderate sample sizes. The proposed approach is illustrated by extensive simulation studies and two real examples.
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