Model selection applications in time series studies of air pollution and mortality
A number of time series studies provide evidence that air pollution levels are associated with daily death counts. Most of these studies explain these associations by using Poisson log-linear regression models, after allowing for possible confounders. However, the findings of these time series studies suffer from several problems, of which the most significant is conflicting results from different approaches to model selection. To address this problem, this dissertation compares the statistical...[Show more]
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