Publication details
Modelling distortions in seroprevalence data using change-point fractional polynomials
| Authors | |
|---|---|
| Year of publication | 2010 |
| Type | Article in Periodical |
| Magazine / Source | Statistical Modelling |
| Citation | |
| Doi | https://doi.org/10.1177/1471082X0801000203 |
| Keywords | change point; detecting distortions; fractional polynomial; model selection criteria; seroprevalence data |
| Description | 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. |