| HENS, N, Andrea KVITKOVIČOVÁ, M AERTS, D HLUBINKA and P BEUTELS. Modelling distortions in seroprevalence data using change-point fractional polynomials. Statistical Modelling. London: SAGE Publications Ltd, 2010, vol. 10, No 2, p. 159-175. ISSN 1471-082X. Available from: https://dx.doi.org/10.1177/1471082X0801000203. |
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@article{1324051,
author = {Hens, N and Kvitkovičová, Andrea and Aerts, M and Hlubinka, D and Beutels, P},
article_location = {London},
article_number = {2},
doi = {http://dx.doi.org/10.1177/1471082X0801000203},
keywords = {change point; detecting distortions; fractional polynomial; model selection criteria; seroprevalence data},
language = {eng},
issn = {1471-082X},
journal = {Statistical Modelling},
title = {Modelling distortions in seroprevalence data using change-point fractional polynomials},
volume = {10},
year = {2010}
}
TY - JOUR
ID - 1324051
AU - Hens, N - Kvitkovičová, Andrea - Aerts, M - Hlubinka, D - Beutels, P
PY - 2010
TI - Modelling distortions in seroprevalence data using change-point fractional polynomials
JF - Statistical Modelling
VL - 10
IS - 2
SP - 159-175
EP - 159-175
PB - SAGE Publications Ltd
SN - 1471082X
KW - change point
KW - detecting distortions
KW - fractional polynomial
KW - model selection criteria
KW - seroprevalence data
N2 - 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.
ER -
HENS, N, Andrea KVITKOVIČOVÁ, M AERTS, D HLUBINKA and P BEUTELS. Modelling distortions in seroprevalence data using change-point fractional polynomials. \textit{Statistical Modelling}. London: SAGE Publications Ltd, 2010, vol.~10, No~2, p.~159-175. ISSN~1471-082X. Available from: https://dx.doi.org/10.1177/1471082X0801000203.
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