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Analysis of censored correlated observations.

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  • Gholam Oskrochi
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<mark>Journal publication date</mark>1/10/1995
<mark>Journal</mark>Journal of Statistical Planning and Inference
Issue number1-2
Volume47
Number of pages16
Pages (from-to)165-180
Publication StatusPublished
<mark>Original language</mark>English

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.