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
Official URL: http://www.penerbit.utm.my/bookchapterdoc/FS/bookc...
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|
|Deposited By:||Liza Porijo|
|Deposited On:||05 Jun 2012 04:22|
|Last Modified:||05 Jun 2014 00:56|
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