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Shared Gamma Frailty Models Based on Reversed Hazard

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Modeling Survival Data Using Frailty Models

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

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Abstract

The models derived in previous chapter and reference sited in are based on the assumption that a common random effect acts multiplicatively on the hazard rate function. In many practical situations, reversed hazard rate (RHR) is more appropriate to analyze the survival data.

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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). Shared Gamma Frailty Models Based on Reversed Hazard. In: Modeling Survival Data Using Frailty Models. Industrial and Applied Mathematics. Springer, Singapore. https://doi.org/10.1007/978-981-15-1181-3_10

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