ASYMPTOTIC AND SMALL SAMPLE STATISTICAL PROPERTIES OF RANDOM FRAILTY VARIANCE ESTIMATES FOR SHARED GAMMA FRAILTY MODELS
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Publication:4787601
DOI10.1081/SAC-100105080zbMath1008.62676MaRDI QIDQ4787601
Matthew W. Knuiman, Hien T. V. Vu, Mark R. Segal, Ian R. James
Publication date: 8 January 2003
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Related Items (9)
Profile likelihood approaches for semiparametric copula and frailty models for clustered survival data ⋮ Inference in mixed proportional hazard models with \(K\) random effects ⋮ Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model ⋮ Estimation in semiparametric conditional shared frailty models with events before study entry ⋮ Bayesian Versus Frequentist Approach of the Frailty Cox Model, Application to Calf Gastroenteritis ⋮ Parametric and Semiparametric Conditional Shared Gamma Frailty Models with Events Before Study Entry ⋮ spgam1 ⋮ Multilevel mixed linear models for survival data ⋮ A hybrid ML-EM algorithm for calculation of maximum likelihood estimates in semiparametric shared frailty models.
Uses Software
Cites Work
- Asymptotic properties of a class of mixture models for failure data: The interior and boundary cases
- Consistency in a proportional hazards model incorporating a random effect
- Generalization of likelihood ratio tests under nonstandard conditions
- Dependence estimation for marginal models of multivariate survival data.
- Asymptotic theory for the correlated gamma-frailty model
- Asymptotic theory for the frailty model
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Estimation of Variance in Cox's Regression Model with Shared Gamma Frailties
- On the Distribution of the Likelihood Ratio
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