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A new measure of time-varying association for shared frailty models with bivariate current status data

Unkel, Steffen and Farrington, Paddy (2012). A new measure of time-varying association for shared frailty models with bivariate current status data. Biostatistics, 13(4) pp. 665–679.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1093/biostatistics/kxs010
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Abstract

In this paper, a new measure for assessing the temporal variation in the strength of association in bivariate current status data is proposed. This novel measure is relevant for shared frailty models. We show that this measure is particularly convenient, owing to its connection with the relative frailty variance and its interpretability in suggesting appropriate frailty models. We introduce a method of estimation and standard errors for this measure. We discuss its properties and compare it to an existing measure of association applicable to current status data. Small sample performance of the measure in realistic scenarios is investigated using simulations. The methods are illustrated with bivariate serological survey data on a pair of infections, where the time-varying association is likely to represent heterogeneities in activity levels and/or susceptibility to infection.

Item Type: Journal Article
Copyright Holders: 2012 The Author
ISSN: 1468-4357
Keywords: cross-ratio function; current status data; frailty models; heterogeneity; serological survey
Academic Unit/Department: Mathematics, Computing and Technology
Mathematics, Computing and Technology > Mathematics and Statistics
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Item ID: 34505
Depositing User: Paddy Farrington
Date Deposited: 05 Oct 2012 09:56
Last Modified: 11 Dec 2012 09:59
URI: http://oro.open.ac.uk/id/eprint/34505
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