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Using generalized linear models (GLMs), Jalaludin et al. (2006; J. Exposure Analysis and Epidemiology 16, 225–237) studied the association between the daily number of visits to emergency departments for cardiovascular disease by the elderly (65+) and five measures of ambient air pollution. Bayesian methods provide an alternative approach to classical time series modelling and are starting to be more widely used. This paper considers Bayesian methods using the dataset used by Jalaludin et al. (2006) , and compares the results from Bayesian methods with those obtained by Jalaludin et al. (2006) using GLM methods. [ABSTRACT FROM AUTHOR]