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Modeling heterogeneity for bivariate survival data by the Weibull distribution

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Abstract

We propose bivariate Weibull regression model with heterogeneity (frailty or random effect) which is generated by Weibull distribution. We assume that the bivariate survival data follow bivariate Weibull of Hanagal (Econ Qual Control 19:83–90, 2004). There are some interesting situations like survival times in genetic epidemiology, dental implants of patients and twin births (both monozygotic and dizygotic) where genetic behavior (which is unknown and random) of patients follows a known frailty distribution. These are the situations which motivate to study this particular model. We propose two-stage maximum likelihood estimation for hierarchical likelihood in the proposed model. We present a small simulation study to compare these estimates with the true value of the parameters and it is observed that these estimates are very close to the true values of the parameters.

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  1. Department of Statistics, University of Pune, Pune, 411007, India

    David D. Hanagal

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  1. David D. Hanagal
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Correspondence to David D. Hanagal.

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Hanagal, D.D. Modeling heterogeneity for bivariate survival data by the Weibull distribution. Stat Papers 51, 947–958 (2010). https://doi.org/10.1007/s00362-008-0188-2

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  • DOI: https://doi.org/10.1007/s00362-008-0188-2

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