Variance components models for survival data

DOI10.1111/j.1467-9574.1996.tb01487.xzbMath0856.62098OpenAlexW2098349814WikidataQ124258389 ScholiaQ124258389MaRDI QIDQ4715800

Jørgen Holm Petersen, Richard D. Gill, Per Kragh Andersen

Publication date: 12 February 1997

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.1996.tb01487.x

zbMATH Keywords

EM algorithmsemiparametric modelslikelihood estimationunobserved heterogeneityfrailty modelscensored survival datacorrelated life timesCox proportional hazards modelmultivariate counting processcorrelated frailtyextended models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Analysis of variance and covariance (ANOVA) (62J10)

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Estimation of Multivariate Frailty Models Using Penalized Partial Likelihood, A universal procedure for parametric frailty models, Dependent hazards in multivariate survival problems, Exponential family models and statistical genetics, Additive gamma frailty models with applications to competing risks in related individuals, A modified risk detection approach of biomarkers by frailty effect on multiple time to event data

Cites Work

• Point processes and queues. Martingale dynamics
• Consistency in a proportional hazards model incorporating a random effect
• Asymptotic theory for the frailty model
• True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model
• Multivariate Generalizations of the Proportional Hazards Model
• Bivariate Survival Models Induced by Frailties
• The Additive Genetic Gamma Frailty Model
• Estimation of Variance in Cox's Regression Model with Shared Gamma Frailties
• Multivariate Survival Analysis Using Piecewise Gamma Frailty
• Statistical models based on counting processes