Oskrochi, Gholam (1995) Analysis of censored correlated observations. Journal of Statistical Planning and Inference, 47 (1-2). pp. 165-180. ISSN 0378-3758Full text not available from this repository.
In survival analysis, the most frequently used parametric survival models are the exponential and the Weibull distribution. A random effects model based on a generalized Weibull distribution is proposed for censored correlated observations. The specific individual effects play the role of the random effects part. A conceptually simple and very useful algorithm using the generalized linear model is given, to apply random effects Weibull models to data, and calculate the asymptotic variance-covariance matrix. The model is applied to two real data sets and the results are compared with previous work.
|Journal or Publication Title:||Journal of Statistical Planning and Inference|
|Uncontrolled Keywords:||Generalized linear models ; Censored data likelihood ; Random effect models ; EM algorithm|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||10 Nov 2008 15:09|
|Last Modified:||07 Jan 2015 13:14|
Actions (login required)