A model for estimation of temperature effects on mortality is presented in this paper. The model is able to capture jointly the typical features of every temperature-death relationship, i.e. nonlinearity and delayed effect of cold and heat over few days. Through a segmented approximation along with a spline-based distributed lag parameterization, estimates and relevant standard errors of the cold- and heat-related risks and of the heat- tolerance are provided. The model is applied to two data-sets of mortality time series in Italy.
(2005). Modelling temperature effects on mortality: multiple segmented relationships with common break-points [working paper]. Retrieved from http://hdl.handle.net/10446/963
Modelling temperature effects on mortality: multiple segmented relationships with common break-points
2005-10-01
Abstract
A model for estimation of temperature effects on mortality is presented in this paper. The model is able to capture jointly the typical features of every temperature-death relationship, i.e. nonlinearity and delayed effect of cold and heat over few days. Through a segmented approximation along with a spline-based distributed lag parameterization, estimates and relevant standard errors of the cold- and heat-related risks and of the heat- tolerance are provided. The model is applied to two data-sets of mortality time series in Italy.File | Dimensione del file | Formato | |
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