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Comparison of Gamma and Inverse Gaussian Frailty Models

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Modeling Survival Data Using Frailty Models

Part of the book series: Industrial and Applied Mathematics ((INAMA))

Abstract

In this chapter, we compare the gamma frailty and inverse Gaussian frailty models with three different baseline distributions, namely, Gompertz, log-logistic, and bivariate exponential of Marshall and Olkin (1967). We also analyze three data sets, namely, acute leukemia data, litters of rat data, and diabetic retinopathy data with six proposed models based on gamma and inverse Gaussian frailty models.

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Authors and Affiliations

  1. Symbiosis Statistical Institute, Symbiosis International University, Pune, Maharashtra, 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. (2019). Comparison of Gamma and Inverse Gaussian Frailty Models. In: Modeling Survival Data Using Frailty Models. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-15-1181-3_11

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