Modeling bivariate survival data using shared inverse Gaussian frailty model

DOI10.1080/03610926.2014.901380zbMath1347.62208OpenAlexW2027902575MaRDI QIDQ2817128

Susmita M. Bhambure, David D. Hanagal

Publication date: 29 August 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.901380

zbMATH Keywords

copulaMarkov chain Monte Carloinverse Gaussian distributionBayesian estimationshared frailtymodel selection criterion

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bayesian inference (62F15)

Related Items (6)

Correlated positive stable frailty models ⋮ Correlated inverse Gaussian frailty models for bivariate survival data ⋮ The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil ⋮ Compound Poisson shared frailty models based on additive hazards ⋮ Mortality modeling under stochastic frailty ⋮ A comparative study with bootstrap resampling technique to uncover behavior of unconditional hazards and survival functions for gamma and inverse Gaussian frailty models

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• A new class of weighted exponential distributions
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