Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10984
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dc.contributor.authorHENS, Niel-
dc.contributor.authorKvitkovicova, A.-
dc.contributor.authorAERTS, Marc-
dc.contributor.authorHlubinka, D.-
dc.contributor.authorBeutels, P.-
dc.date.accessioned2010-07-06T09:09:06Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2010-07-06T09:09:06Z-
dc.date.issued2010-
dc.identifier.citationSTATISTICAL MODELLING, 10 (2). p. 159-175-
dc.identifier.issn1471-082X-
dc.identifier.urihttp://hdl.handle.net/1942/10984-
dc.description.abstractThis 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.-
dc.description.sponsorshipWe gratefully acknowledge two referees and an associate editor for provoking thoughts that have led to an improved version of the manuscript. This work was based on a serum sample collected for the European Commission's ESEN2-project. We are grateful to the Institute of Public Health, Brussels (Dr Robert Vranckx, Dr Veronik Hutse) for assistance with PVB19 testing. This work is part of the research project MSM 0021620839 that has been funded by 'SIMID', a strategic basic research project funded by the institute for the Promotion of Innovation by Science and Technology in Flanders, project number 060081, by the Fund of Scientific Research (Research Grant G039304) in Flanders, Belgium, by the IAP research network number P6/03 of the Belgian Government (Belgian Science Policy) and by the Grant Agency of Charles University, project number 252387/2007. This work benefited from discussions held in POLYMOD, a European Commission project funded within the Sixth Framework Programme, contract number: SSP22-CT-2004-502084.-
dc.language.isoen-
dc.publisherSAGE PUBLICATIONS LTD-
dc.rights2010 SAGE Publications-
dc.subject.otherchange point-
dc.subject.otherdetecting distortions-
dc.subject.otherfractional polynomial-
dc.subject.othermodel selection criteria-
dc.subject.otherseroprevalence data-
dc.titleModelling distortions in seroprevalence data using change-point fractional polynomials-
dc.typeJournal Contribution-
dc.identifier.epage175-
dc.identifier.issue2-
dc.identifier.spage159-
dc.identifier.volume10-
local.format.pages17-
local.bibliographicCitation.jcatA1-
dc.description.notes[Hens, N.; Aerts, M.] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Hens, N.; Aerts, M.] Catholic Univ Louvain, B-3000 Louvain, Belgium. [Kvitkovicova, A.; Hlubinka, D.] Charles Univ Prague, Prague, Czech Republic. [Beutels, P.] Univ Antwerp, Ctr Evaluat Vaccinat, B-2020 Antwerp, Belgium. niel.hens@uhasselt.be-
local.publisher.place1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1177/1471082X0801000203-
dc.identifier.isi000278436800003-
local.uhasselt.internationalyes-
item.validationecoom 2011-
item.contributorHENS, Niel-
item.contributorKvitkovicova, A.-
item.contributorAERTS, Marc-
item.contributorHlubinka, D.-
item.contributorBeutels, P.-
item.fullcitationHENS, Niel; Kvitkovicova, A.; AERTS, Marc; Hlubinka, D. & Beutels, P. (2010) Modelling distortions in seroprevalence data using change-point fractional polynomials. In: STATISTICAL MODELLING, 10 (2). p. 159-175.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1471-082X-
crisitem.journal.eissn1477-0342-
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