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Sensitivity of compound poisson frailty model in survival analysis

Mohd. Khalid, Zarina and Morgan, Byron J. T. (2006) Sensitivity of compound poisson frailty model in survival analysis. In: Recent Advances in Probability and Statistics. Penerbit UTM, Johor , p. 185. ISBN 978-983-52-0612-2

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Abstract

Survival analysis has recently gained popularity in many fields, particularly medical, social and engineering. It is popularly used to analyze non-negative response variable describing the time to an event of interest, usually a failure such as death, occurrence of complications and relapse, or addressing the time to a successful event such as getting an employment or time to the first marriage. In engineering field, survival analysis is also connected to reliability study. The non-negative response variable is usually modeled either parametrically or non-parametrically, with or without covariates in the selected model. Our focus in this article in on a parametric survival model which not only incorporates fixed effect but also random effect associated with every individual subject in the study, namely compound Poisson frailty model.

Item Type:Book Section
Subjects:Q Science
Divisions:Science
ID Code:25750
Deposited By: Liza Porijo
Deposited On:05 Jun 2012 04:22
Last Modified:05 Jun 2014 00:56

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