Destructive negative binomial cure rate model and EM-based likelihood inference under Weibull lifetime

DOI10.1016/J.SPL.2016.04.005zbMath1378.62111OpenAlexW2342122457MaRDI QIDQ297131

Suvra Pal, Narayanaswamy Balakrishnan

Publication date: 24 June 2016

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2016.04.005

zbMATH Keywords

EM algorithmmaximum likelihood estimatesprofile likelihoodcompeting cause scenariolong-term survivors

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (6)

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 ⋮ On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model ⋮ 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 ⋮ An EM algorithm for the destructive COM-Poisson regression cure rate model

Uses Software

• SPLIDA

Cites Work

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