10.4225/03/5937785cdfbaf
Erbas, Bircan
Bircan
Erbas
Hyndman, Rob J.
Rob J.
Hyndman
Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease
Monash University
2017
1959.1/2302
Air pollution
Seasonal adjustment
Generalized additive models
Respiratory disease
2001
Autocorrelation
monash:2302
2017-06-07 03:51:55
Journal contribution
https://bridges.monash.edu/articles/journal_contribution/Statistical_Methodological_Issues_in_Studies_of_Air_Pollution_and_Respiratory_Disease/5084836
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.