文章基本信息

标题：Turnbull versus Kaplan-Meier Estimators of Cure Rate Estimation Using Interval Censored Data
本地全文：下载
作者：Bader Ahmad Aljawadi ; Mohd Rizam Abu Bakar ; Noor Akma 等
期刊名称：Pertanika Journal of Social Sciences & Humanities
印刷版ISSN：0128-7702
电子版ISSN：2231-8534
出版年度：2012
卷号：20
期号：2
出版社：Universiti Putra Malaysia
摘要：This study deals with the analysis of the cure rate estimation based on the Bounded Cumulative Hazard (BCH) model using interval censored data, given that the exact distribution of the data set is unknown. Thus, the non-parametric estimation methods are employed by means of the EM algorithm. The Turnbull and Kaplan Meier estimators were proposed to estimate the survival function, even though the Kaplan Meier estimator faces some restrictions in term of interval survival data. A comparison of the cure rate estimation based on the two estimators was done through a simulation study.
关键词：BCH model; interval censored data; cure fraction; EM algorithm; Turnbull ;estimator; Kaplan Meier estimator