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Estimation Methods for Shared Frailty Models

  • David D. HanagalEmail author
Chapter
Part of the Industrial and Applied Mathematics book series (INAMA)

Abstract

In this chapter, we discuss different methods of estimation for shared frailty models which are used more often and they have a lot of applications. Hanagal (2005b, 2006a, b, c, d) has obtained the estimation of the parameters and test for regression coefficients under different bivariate Weibull baselines with gamma frailty model. Hanagal (2005a, 2006c) has proposed an estimation of the parameters, test for frailty, and test for regression coefficients under different bivariate Weibull with a positive stable frailty model. Hanagal (2007c, 2009b) has developed the estimation of the parameters, test for frailty, and test for regression coefficients under the bivariate Weibull baseline with the PVF frailty model. Hanagal (2007a, b, 2008a) discussed shared frailty models with mixture distributions. Hanagal (2008b, 2010b) has obtained the estimation of the parameters, test for frailty, and test for regression coefficients under the bivariate Weibull baseline with lognormal and Weibull frailty models. Hanagal (2010a) has obtained the estimation of the parameters and test for regression coefficients under the bivariate Weibull baseline with compound Poisson frailty model. Hanagal (2010c) has obtained the estimation of the parameters and test for regression coefficients under bivariate Weibull baseline using compound Poisson frailty with a random scale model. Hanagal (2009a) has presented different frailty models under different bivariate Weibull baseline models.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Symbiosis Statistical InstituteSymbiosis International UniversityPuneIndia

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