Analysis of censored correlated observations.

Oskrochi, Gholam (1995) Analysis of censored correlated observations. Journal of Statistical Planning and Inference, 47 (1-2). pp. 165-180. ISSN 0378-3758

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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:
Journal Article
Journal or Publication Title:
Journal of Statistical Planning and Inference
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2604
Subjects:
?? generalized linear modelscensored data likelihoodrandom effect modelsem algorithmapplied mathematicsstatistics and probabilitystatistics, probability and uncertaintyqa mathematics ??
ID Code:
19678
Deposited By:
Deposited On:
10 Nov 2008 15:09
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 09:46