Aggregating the response in time series regression models, applied to weather-related cardiovascular mortality

In environmental epidemiology studies, health response data (e.g. hospitalization or mortality) are often noisy because of hospital organization and other social factors. The noise in the data can hide the true signal related to the exposure. The signal can be unveiled by performing a temporal aggre...

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Veröffentlicht in:	The Science of the total environment 2018-07, Vol.628-629, p.217-225
Hauptverfasser:	Masselot, Pierre, Chebana, Fateh, Bélanger, Diane, St-Hilaire, André, Abdous, Belkacem, Gosselin, Pierre, Ouarda, Taha B.M.J.
Format:	Artikel
Sprache:	eng
Schlagworte:	ARMA Canada - epidemiology Cardiovascular Diseases - mortality Cardiovascular mortality Environmental Exposure - statistics & numerical data Humans Mortality Nonlinear Dynamics Regression Analysis Temperature Temporal aggregation Temporal dependence Time series regression Weather
Online-Zugang:	Volltext
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