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.