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Modelling distortions in seroprevalence data using change-point fractional polynomials.
- Source :
- Statistical Modelling: An International Journal; 2010, Vol. 10 Issue 2, p159-175, 17p, 3 Charts, 6 Graphs
- Publication Year :
- 2010
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- POLYNOMIALS
SEROPREVALENCE
PARVOVIRUS diseases
VARICELLA-zoster virus
Subjects
Details
- Language :
- English
- ISSN :
- 1471082X
- Volume :
- 10
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Statistical Modelling: An International Journal
- Publication Type :
- Academic Journal
- Accession number :
- 51270992
- Full Text :
- https://doi.org/10.1177/1471082X0801000203