COM-POISSON CURE RATE MODEL WITH GENERALIZED EXPONENTIAL LIFETIMES UNDER INTERVAL-CENSORING: AN EM-BASED APPROACH

被引：1

作者：

Amirtharaj, Janani ^{[1
]}

Devkunvar, G. Vijayasree Shrimathi ^{[1
]}

机构：

[1] Shrimathi Devkunvar Nanalal Bhatt Vaishnav Coll, Dept Stat, Women Vaishnava Coll Rd,, Chennai 600044, Tamil Nadu, India

来源：

JP JOURNAL OF BIOSTATISTICS | 2022年 / 21卷 / 01期

关键词：

cure rate model; EM algorithm; maximum likelihood estimates; Akaike information criteria; Bayesian information criteria; LIKELIHOOD INFERENCE; MIXTURE MODEL; REGRESSION;

D O I：

10.17654/0973514322019

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：

A mixture cure rate model is considered for time-to-event data having a cure fraction under a competing risks scenario. It is assumed that the count of unobservable competing causes follows a Conway-Maxwell Poisson (COM-Poisson) distribution, and time-to-event follows a generalized exponential distribution. The expectation-maximization (EM) algorithm is applied for estimating the proposed model parameters under the interval-censoring. The model performance is studied by Monte Carlo simulation using Akaike information criteria (AIC) and Bayesian information criteria (BIC), for varying sample

引用

页码：29 / 54

页数：26

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