Abstract
In the previous chapter, parametric models, including the flexible family of fractional polynomials, were fitted in the framework of generalized linear models. Such models, although quite flexible, are of a predetermined shape through their specific analytical form. They might not be able to capture unusual and unexpected features of the data. Nonparametric regression methods allow to accommodate flexible, highly nonlinear relationships for the age-dependent seroprevalence and consequently for the force of infection.
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© 2012 Springer Science+Business Media New York
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Hens, N., Shkedy, Z., Aerts, M., Faes, C., Van Damme, P., Beutels, P. (2012). Nonparametric Approaches to Model the Prevalence and Force of Infection. In: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data. Statistics for Biology and Health, vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4072-7_7
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DOI: https://doi.org/10.1007/978-1-4614-4072-7_7
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4614-4072-7
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