Piecewise linear approximations for cure rate models and associated inferential issues

DOI10.1007/s11009-015-9477-0zbMath1373.62481OpenAlexW2284511997MaRDI QIDQ2404171

F. S. Milienos, Suvra Pal, Markos V. Koutras, Narayanaswamy Balakrishnan

Publication date: 18 September 2017

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-015-9477-0

zbMATH Keywords

exponential distributionEM algorithmWeibull distributionmaximum likelihood estimatorslifetime datacure rate modelscompeting causescutaneous melanoma datapiecewise constant/linear approximations

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 (11)

Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data ⋮ 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 flexible bimodal model with long-term survivors and different regression structures ⋮ Competing risks driven by Mittag-Leffler distributions, under copula and time transformed exponential model ⋮ A semiparametric promotion time cure model with support vector machine ⋮ A Bayesian cure rate model based on the power piecewise exponential distribution ⋮ On the estimation of destructive cure rate model: A new study with exponentially weighted Poisson competing risks ⋮ Bivariate semi-parametric model: Bayesian inference ⋮ A weighted Poisson distribution and its application to cure rate models ⋮ Bivariate semi-parametric singular family of distributions and its applications

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