Gamma frailty models for bivariate survival data

DOI10.1080/00949655.2014.958086zbMath1457.62311OpenAlexW2080215129MaRDI QIDQ5222272

David D. Hanagal, Arvind Pandey

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.958086

zbMATH Keywords

copulageneralized log-logistic distributionMCMCBayesian model comparisongamma frailtyshared frailtygeneralized Weibull distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items

Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime, Comparison of multiplicative frailty models under Weibull baseline distribution, Identifying the effects of observed and unobserved risk factors using weighted Lindley shared regression model, Shared frailty models with baseline generalized Pareto distribution, Correlated positive stable frailty models, Correlated inverse Gaussian frailty models for bivariate survival data, Saddle-point p-values and confidence intervals based on log-rank tests when dependent subunits of clustered survival data are randomized by random allocation design, Compound Poisson shared frailty models based on additive hazards, Weighted Lindley multiplicative regression frailty models under random censored data, Statistical process control based on gamma-frailty models for heterogeneous reliability observations, Weighted Lindley shared regression model for bivariate left censored data

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