Title
The correlated and shared gamma frailty model for bivariate current status data: an illustration for cross-sectional serological data The correlated and shared gamma frailty model for bivariate current status data: an illustration for cross-sectional serological data
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Chichester ,
Subject
Human medicine
Source (journal)
Statistics in medicine. - Chichester
Volume/pages
28(2009) :22 , p. 2785-2800
ISSN
0277-6715
ISI
000270183400004
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Frailty models are often used to study the individual heterogeneity in multivariate survival analysis. Whereas the shared frailty model is widely applied, the correlated frailty model has gained attention because it elevates the restriction of unobserved factors to act similar within clusters. Estimating frailty models is not straightforward due to various types of censoring. In this paper, we study the behavior of the bivariate-correlated gamma frailty model for type I interval-censored data, better known as current status data. We show that applying a shared rather than a correlated frailty model to cross-sectionally collected serological data on hepatitis A and B leads to biased estimates for the baseline hazard and variance parameters.
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