An Alternative Estimation Method for the Semiparametric Accelerated Failure Time Mixture Cure Model

被引：4

作者：

Xu, Linzhi ^{[1
]}

Zhang, Jiajia ^{[1
]}

机构：

[1] Univ S Carolina, Dept Epidemiol & Biostat, Columbia, SC 29208 USA

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2009年 / 38卷 / 09期

关键词：

Accelerated failure time model; EM algorithm; Logistic regression; Mixture cure model; Profile likelihood; SURVIVAL-DATA; REGRESSION; FRACTION;

D O I：

10.1080/03610910903180657

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We propose an alternative estimation method for the semiparametric accelerated failure time mixture cure model by incorporating the profile likelihood into the M-step of the EM algorithm. The proposed method performs as well as the existing methods when the censoring is light and better than the existing methods when the censoring is moderate from the simulation studies. Regarding to the computational time, the proposed method runs faster than the existing methods.

引用

页码：1980 / 1990

页数：11

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