Birnbaum-Saunders frailty regression models for clustered survival data

DOI10.1007/S11222-024-10458-WzbMATH Open1542.62011MaRDI QIDQ6581678

Diego I. Gallardo, Marcelo Bourguignon, José S. Romeo

Publication date: 31 July 2024

Published in: Statistics and Computing (Search for Journal in Brave)

zbMATH Keywords

EM algorithmcensored datafrailty modelsclustered survival datageneralized inverse-Gaussian model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Cites Work

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• A survival model with Birnbaum-Saunders frailty for uncensored and censored cancer data
• Semiparametric generalized exponential frailty model for clustered survival data
• Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data
• Correlated versus uncorrelated frailty Cox models: a comparison of different estimation procedures
• Birnbaum-Saunders frailty regression models: Diagnostics and application to medical data
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• The Cox shared frailty model with log-skew-normal frailties
• Birnbaum‐Saunders distribution: A review of models, analysis, and applications
• A new family of life distributions
• Estimation for a family of life distributions with applications to fatigue

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