期刊論文

學年 97
學期 2
出版(發表)日期 2009-07-01
作品名稱 Analysis of two-sample censored data using a semiparametric mixture model
作品名稱(其他語言)
著者 Li, Gang; 林千代; Lin, Chien-tai
單位 淡江大學數學學系
出版者 Springer
著錄名稱、卷期、頁數 Acta Mathematicae Applicatae Sinica, English Series 25(3), pp.389-398
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.
關鍵字 Biased sampling; EM algorithm; maximum likelihood estimation; mixture model; semiparametric model
語言 en
ISSN 0168-9673
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度
國別
公開徵稿
出版型式
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