Oskrochi, Gholam (1995) Analysis of censored correlated observations. Journal of Statistical Planning and Inference, 47 (1-2). pp. 165-180. ISSN 0378-3758
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| 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 |
| ID Code: | 19678 |
| Deposited By: | ep_ss_importer |
| Deposited On: | 10 Nov 2008 15:09 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 15:34 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/19678 |
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