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2008 Timescale effect estimation in time-series studies of air pollution and health: A Singular Spectrum Analysis approach
Massimo Bilancia, Girolamo Stea
Electron. J. Statist. 2: 432-453 (2008). DOI: 10.1214/07-EJS123

Abstract

A wealth of epidemiological data suggests an association between mortality/morbidity from pulmonary and cardiovascular adverse events and air pollution, but uncertainty remains as to the extent implied by those associations although the abundance of the data. In this paper we describe an SSA (Singular Spectrum Analysis) based approach in order to decompose the time-series of particulate matter concentration into a set of exposure variables, each one representing a different timescale. We implement our methodology to investigate both acute and long-term effects of PM10 exposure on morbidity from respiratory causes within the urban area of Bari, Italy.

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Massimo Bilancia. Girolamo Stea. "Timescale effect estimation in time-series studies of air pollution and health: A Singular Spectrum Analysis approach." Electron. J. Statist. 2 432 - 453, 2008. https://doi.org/10.1214/07-EJS123

Information

Published: 2008
First available in Project Euclid: 12 June 2008

zbMATH: 1320.62220
MathSciNet: MR2411442
Digital Object Identifier: 10.1214/07-EJS123

Subjects:
Primary: 62P12
Secondary: 62J99

Rights: Copyright © 2008 The Institute of Mathematical Statistics and the Bernoulli Society

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