Modelling distortions in seroprevalence data using change-point fractional polynomials
- 4 June 2010
- journal article
- research article
- Published by SAGE Publications in Statistical Modelling
- Vol. 10 (2), 159-175
- https://doi.org/10.1177/1471082x0801000203
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.Keywords
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