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Weibull Extension of Bivariate Exponential Regression Model with Gamma Frailty for Survival Data
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David D. Hanagal
Published/Copyright:
March 10, 2010
Abstract
A maximum likelihood estimation procedure is developed for a bivariate frailty regression model, in which dependence is generated by a gamma distribution. It is assumed that the random lifetimes follow a bivariate Weibull distribution proposed in Hanagal [Economic Quality Control 11: 193-200, 1996] and that censoring is independent of the two lifetimes. The proposed model may be applied for survival times in genetic epidemiology, survival times of dental implants of patients and survival times of twin births (both monozygotic and dizygotic), with genetic frailty behavior (which is unknown and random) of patients.
Key words:: Bivariate Weibull; Gamma frailty; Parametric regression; Simultaneous failures; Survival times
Published Online: 2010-03-10
Published in Print: 2006-October
© Heldermann Verlag
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- Weibull Extension of Bivariate Exponential Regression Model with Gamma Frailty for Survival Data
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Keywords for this article
Bivariate Weibull;
Gamma frailty;
Parametric regression;
Simultaneous failures;
Survival times
Articles in the same Issue
- A Note on Run Length Variability Reduction for EWMA Charting
- A Note on Nature and Significance of Stochastic Models
- Estimation of Pareto Survival Function in the Presence of Outlying Observations
- Loss Reduction in Point Estimation Problems
- Application of Arithmetic-Geometric Mean Inequality for Construction of Reliability Test Plan for Parallel Systems in the Presence of Covariates
- On Bayesian Estimation in a Parallel System
- Approximating Reliability of a System with Doubly Bounded Performance Functions
- Probability Weighted Moments Approach to Quality Control Charts
- Weibull Extension of Bivariate Exponential Regression Model with Gamma Frailty for Survival Data
- Nonlinear Tobit Decomposition
- Reliability Test Plans for Exponentiated Log-Logistic Distribution
- Transient Analysis of a System with Queue Dependent Servers and Controllable Arrivals