Publication
Title
The correlated and shared gamma frailty model for bivariate current status data: an illustration for cross-sectional serological data
Author
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.
Language
English
Source (journal)
Statistics in medicine. - Chichester
Publication
Chichester : 2009
ISSN
0277-6715
Volume/pages
28:22(2009), p. 2785-2800
ISI
000270183400004
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 28.11.2009
Last edited 11.07.2017
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