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Gamma Frailty Regression Models in Mixture Distributions

Author

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  • Hanagal David D.

    (Department of Statistics, University of Pune, Pune-411007, India)

Abstract

We propose frailty regression models in mixture distributions assuming the distribution of frailty to be a gamma distribution. We consider Weibull mixture as an example. 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.

Suggested Citation

  • Hanagal David D., 2007. "Gamma Frailty Regression Models in Mixture Distributions," Stochastics and Quality Control, De Gruyter, vol. 22(2), pages 295-302, January.
    • Handle: RePEc:bpj:ecqcon:v:22:y:2007:i:2:p:295-302:n:11
    DOI: 10.1515/EQC.2007.295
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    Cited by:

    1. Hanagal, David D. & Pandey, Arvind, 2014. "Gamma shared frailty model based on reversed hazard rate for bivariate survival data," Statistics & Probability Letters, Elsevier, vol. 88(C), pages 190-196.

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