Nonparametric maximum likelihood estimator in a semiparametric mixture model for competing risks data
學年 96
學期 1
出版（發表）日期 2007-12-01
作品名稱 Nonparametric maximum likelihood estimator in a semiparametric mixture model for competing risks data
作品名稱（其他語言）
著者 溫啟仲; Chang, I-SHOU; Hsiung, CHAO A.; Wu, YUH-JENN; Yang, CHE-CHI
單位 淡江大學數學學系
出版者
著錄名稱、卷期、頁數 Scandinavian Journal of Statistics 34(4), pp.870-895
摘要 This paper describes our studies on non-parametric maximum-likelihood estimators in a semiparametric mixture model for competing-risks data, in which proportional hazards models are specified for failure time models conditional on cause and a multinomial model is specified for the marginal distribution of cause conditional on covariates. We provide a verifiable identifiability condition and, based on it, establish an asymptotic profile likelihood theory for this model. We also provide efficient algorithms for the computation of the non-parametric maximum-likelihood estimate and its asymptotic variance. The success of this method is demonstrated in simulation studies and in the analysis of Taiwan severe acute respiratory syndrome data.
關鍵字
語言 en
ISSN 1467-9469
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版
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