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Modelling distortions in seroprevalence data using change-point fractional polynomials
Autoři | |
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Rok publikování | 2010 |
Druh | Článek v odborném periodiku |
Časopis / Zdroj | Statistical Modelling |
Citace | |
Doi | http://dx.doi.org/10.1177/1471082X0801000203 |
Klíčová slova | change point; detecting distortions; fractional polynomial; model selection criteria; seroprevalence data |
Popis | 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. |