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Int J Occup Med Environ Health · Jan 2006
Use of generalized linear mixed models to examine the association between air pollution and health outcomes.
- Mieczysław Szyszkowicz.
- Air Health Effects Division, Health Canada, Ottawa, Ontario, Canada. mietek_Szyszkowicz@hc-sc.gc.ca
- Int J Occup Med Environ Health. 2006 Jan 1; 19 (4): 224-7.
BackgroundTime-series and case-crossover are two techniques that are widely used for assessing the short-term impact of ambient air pollution exposure on health.Materials And MethodsThe generalized linear mixed model (GLMM) methodology is proposed here to study the association between ambient air pollution and health outcomes. Poisson random-effects models are applied to analyze the clustered counts, where the groups of days, determined by the triplet
, form the clusters. The proposed technique uses a nested structure for the clusters and allows random-effects for hierarchical factors. A random intercept in the models adjusts for different levels of counts among the clusters. A fixed slope represents a common response to the exposure.Results And ConclusionsThe obtained results are consistent with those generated by a classical approach (for example the case-crossover technique). The GLMM technique is a valid alternative methodology for studying air health effects. Notes
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