Title
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Modelling distortions in seroprevalence data using change-point fractional polynomials
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Author
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Abstract
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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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Language
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English
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Source (journal)
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Statistical modelling: an international journal. - Place of publication unknown
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Publication
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Place of publication unknown
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2010
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ISSN
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1471-082X
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DOI
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10.1177/1471082X0801000203
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Volume/pages
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10
:2
(2010)
, p. 159-175
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ISI
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000278436800003
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Full text (Publisher's DOI)
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