Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data

DOI10.1007/s00180-016-0660-8zbMath1417.62325OpenAlexW2345533081MaRDI QIDQ2358928

Suvra Pal, Narayanaswamy Balakrishnan

Publication date: 27 June 2017

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-016-0660-8

zbMATH Keywords

EM algorithmmaximum likelihood estimatesprofile likelihoodcompeting cause scenariolong-term survivors

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (9)

A new non-linear conjugate gradient algorithm for destructive cure rate model and a simulation study: illustration with negative binomial competing risks ⋮ A stochastic version of the EM algorithm for mixture cure model with exponentiated Weibull family of lifetimes ⋮ A new destructive Poisson odd log-logistic generalized half-normal cure rate model ⋮ On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model ⋮ An EM type estimation procedure for the destructive exponentially weighted Poisson regression cure model under generalized gamma lifetime ⋮ A semiparametric promotion time cure model with support vector machine ⋮ On the estimation of destructive cure rate model: A new study with exponentially weighted Poisson competing risks ⋮ Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data ⋮ An EM algorithm for the destructive COM-Poisson regression cure rate model

Uses Software

• R
• timereg
• SPLIDA

Cites Work

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