HENS, N, Andrea KVITKOVIČOVÁ, M AERTS, D HLUBINKA a P BEUTELS. Modelling distortions in seroprevalence data using change-point fractional polynomials. Statistical Modelling. London: SAGE Publications Ltd, 2010, roč. 10, č. 2, s. 159-175. ISSN 1471-082X. Dostupné z: 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 a P BEUTELS. Modelling distortions in seroprevalence data using change-point fractional polynomials. \textit{Statistical Modelling}. London: SAGE Publications Ltd, 2010, roč.~10, č.~2, s.~159-175. ISSN~1471-082X. Dostupné z: https://dx.doi.org/10.1177/1471082X0801000203.
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