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

نویسندگان

  • David D. Hanagal
  • Richa Sharma
چکیده

Department of Statistics, University of Pune, Pune-411007, India. Email: david−[email protected]; richa−[email protected] Abstract In this paper, 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.

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تاریخ انتشار 2013