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Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease

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  • Hyndman, R.J.

    ()

  • Erbas, B.

Abstract

Epidemiological studies have consistently shown short term associations between levels of air pollution and respiratory disease in countries of diverse populations, geographical locations and varying levels of air pollution and climate. The aims of this paper are: (1) to assess the sensitivity of the observed pollution effects to model specification, with particular emphasis on the inclusion of seasonally adjusted covariates; and (2) to study the effect of air pollution on respiratory disease in Melbourne, Australia.

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File URL: http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2001/wp6-01.pdf
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Bibliographic Info

Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 6/01.

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Length: 20 pages
Date of creation: Sep 2001
Date of revision:
Handle: RePEc:msh:ebswps:2001-6

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Related research

Keywords: Air pollution; Autocorrelation; Generalized additive models; Seasonal adjustment; Respiratory disease;

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