Title
Modelling distortions in seroprevalence data using change-point fractional polynomials Modelling distortions in seroprevalence data using change-point fractional polynomials
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
,
Subject
Mathematics
Human medicine
Source (journal)
Statistical modelling: an international journal. - Place of publication unknown
Volume/pages
10(2010) :2 , p. 159-175
ISSN
1471-082X
ISI
000278436800003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
This paper shows how to model seroprevalence data using change-point fractional polynomials (FPs). The inclusion of a change point in the FP framework allows to detect distortions arising from common (often untestable) assumptions made in the estimation of the age-specific prevalence and force of infection from cross-sectional data. The method is motivated using seroprevalence data on the parvovirus B19 and the varicella zoster virus in Belgium.
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