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http://hdl.handle.net/1942/10984
Title: | Modelling distortions in seroprevalence data using change-point fractional polynomials | Authors: | HENS, Niel Kvitkovicova, A. AERTS, Marc Hlubinka, D. Beutels, P. |
Issue Date: | 2010 | Publisher: | SAGE PUBLICATIONS LTD | Source: | STATISTICAL MODELLING, 10 (2). p. 159-175 | 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. | 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 | Keywords: | change point;detecting distortions;fractional polynomial;model selection criteria;seroprevalence data | Document URI: | http://hdl.handle.net/1942/10984 | ISSN: | 1471-082X | e-ISSN: | 1477-0342 | DOI: | 10.1177/1471082X0801000203 | ISI #: | 000278436800003 | Rights: | 2010 SAGE Publications | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
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Hens_et_al._2010_(Author_version)[1].pdf | Peer-reviewed author version | 495.47 kB | Adobe PDF | View/Open |
1471082x0801000203.pdf Restricted Access | Published version | 616.15 kB | Adobe PDF | View/Open Request a copy |
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