Comparison of Frailty Models for Acute Leukemia Data under Gompertz Baseline Distribution

David D. Hanagal and Richa Sharma

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 7, 1338-1350

Abstract: In this article, we consider two different shared frailty regression models under the assumption of Gompertz as baseline distribution. Mostly assumption of gamma distribution is considered for frailty distribution. To compare the results with gamma frailty model, we consider the inverse Gaussian shared frailty model also. We compare these two models to a real life bivariate survival data set of acute leukemia remission times (Freireich et al., 1963). Analysis is performed using Markov Chain Monte Carlo methods. Model comparison is made using Bayesian model selection criterion and a well-fitted model is suggested for the acute leukemia data.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:44:y:2015:i:7:p:1338-1350

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DOI: 10.1080/03610926.2013.769600

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