A hybrid ML-EM algorithm for calculation of maximum likelihood estimates in semiparametric shared frailty models.

DOI10.1016/S0167-9473(01)00099-8zbMath1072.62645OpenAlexW2126178918MaRDI QIDQ1606110

Hien T. V. Vu, Matthew W. Knuiman

Publication date: 31 July 2002

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(01)00099-8

zbMATH Keywords

SimulationsMLENewton-RaphsonEMMLFrailty variance estimatesHybrid ML-EMNon-parametric hazardsShared frailties

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (8)

Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data ⋮ Inference in mixed proportional hazard models with \(K\) random effects ⋮ Generalized accelerated failure time frailty model for systems subject to imperfect preventive maintenance ⋮ Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data ⋮ One-sided tests in shared frailty models ⋮ Estimation in semiparametric conditional shared frailty models with events before study entry ⋮ Modelling conditional covariance in the linear mixed model ⋮ Multilevel mixed linear models for survival data

Uses Software

• SAS/IML
• SAS
• spgam1

Cites Work

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• Asymptotic theory for the correlated gamma-frailty model
• Modelling failure-time associations in data with multiple levels of clustering
• Covariance and survivor function estimation using censored multivariate failure time data
• Time-Dependent Association Measures for Bivariate Survival Distributions
• Survival of related individuals: An extension of some fundamental results of heterogeneity analysis
• Estimation of Variance in Cox's Regression Model with Shared Gamma Frailties
• A General Framework for Random Effects Survival Analysis in the Cox Proportional Hazards Setting
• SURVIVAL ANALYSIS WITH TIME DEPENDENT FRAILTY USING A LONGITUDINAL MODEL
• ASYMPTOTIC AND SMALL SAMPLE STATISTICAL PROPERTIES OF RANDOM FRAILTY VARIANCE ESTIMATES FOR SHARED GAMMA FRAILTY MODELS

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