Approximate Bayesian inference for mixture cure models

DOI10.1007/s11749-019-00679-xzbMath1458.62225arXiv1806.09362OpenAlexW2977014755WikidataQ127210240 ScholiaQ127210240MaRDI QIDQ2220802

E. Lázaro, Carmen Armero, Virgilio Gómez-Rubio

Publication date: 25 January 2021

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.09362

zbMATH Keywords

survival analysisGibbs samplingaccelerated failure time mixture cure modelscomplete and marginal likelihood functionproportional hazards mixture cure models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (1)

Fitting double hierarchical models with the integrated nested Laplace approximation

Uses Software

• R
• GMRFLib
• R-INLA
• JAGS
• Smcure

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• Gaussian Markov Random Fields
• Estimating and modeling the cure fraction in population-based cancer survival analysis
• Geoadditive Survival Models
• Bayesian survival analysis

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