淡江大學機構典藏:Item 987654321/50388
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    题名: Analysis of two-sample censored data using a semiparametric mixture model
    作者: Li, Gang;林千代;Lin, Chien-tai
    贡献者: 淡江大學數學學系
    关键词: Biased sampling;EM algorithm;maximum likelihood estimation;mixture model;semiparametric model
    日期: 2009-07
    上传时间: 2010-08-09 16:41:54 (UTC+8)
    出版者: Springer
    摘要: In this article we study a semiparametric mixture model for the two-sample problem with right censored data. The model implies that the densities for the continuous outcomes are related by a parametric tilt but otherwise unspecified. It provides a useful alternative to the Cox (1972) proportional hazards model for the comparison of treatments based on right censored survival data. We propose an iterative algorithm for the semiparametric maximum likelihood estimates of the parametric and nonparametric components of the model. The performance of the proposed method is studied using simulation. We illustrate our method in an application to melanoma.
    關聯: Acta Mathematicae Applicatae Sinica, English Series 25(3), pp.389-398
    DOI: 10.1007/s10255-008-8804-4
    显示于类别:[數學學系暨研究所] 期刊論文

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