Likelihood inference based on EM algorithm for the destructive length-biased Poisson cure rate model with Weibull lifetime

DOI10.1080/03610918.2015.1053918OpenAlexW2253220940MaRDI QIDQ5084729

Suvra Pal, Narayanaswamy Balakrishnan

Publication date: 28 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2015.1053918

zbMATH Keywords

maximum likelihood estimatesWeibull distributionlong-term survivorsweighted Poisson distributionnoninformative censoringcompeting causes scenario

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (6)

Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data ⋮ A stochastic version of the EM algorithm for mixture cure model with exponentiated Weibull family of lifetimes ⋮ On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model ⋮ Promoting variable effect consistency in mixture cure model for credit scoring ⋮ An EM type estimation procedure for the destructive exponentially weighted Poisson regression cure model under generalized gamma lifetime ⋮ An EM algorithm for the destructive COM-Poisson regression cure rate model

Uses Software

• GAMLSS
• SPLIDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A stochastic model of hormesis
• Destructive weighted Poisson cure rate models
• An EM algorithm for the estimation of parameters of a flexible cure rate model with generalized gamma lifetime and model discrimination using likelihood- and information-based methods
• A stochastic two-stage carcinogenesis model: A new approach to computing the probability of observing tumor in animal bioassays
• A class of weighted Poisson processes
• Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family
• COM-Poisson cure rate survival models and an application to cutaneous melanoma data
• EM algorithm-based likelihood estimation for some cure rate models
• The EM Algorithm and Extensions, 2E
• A New Bayesian Model for Survival Data with a Surviving Fraction
• Estimation in a Cox Proportional Hazards Cure Model
• Numerical Maximisation of Likelihood: A Neglected Alternative to EM?
• On the theory of screening for chronic diseases
• A Generalization of the Gamma Distribution
• Generalized Additive Models for Location, Scale and Shape
• Bayesian survival analysis
• Identifiability of cure models

This page was built for publication: Likelihood inference based on EM algorithm for the destructive length-biased Poisson cure rate model with Weibull lifetime