Does Ignoring Model Selection When Assessing the Effect of Particulate Matter Air Pollution on Mortality Make Us Too Vigilant?
Purpose: To investigate the extent to which standard errors can be underestimated in time-series studies of the association between particulate matter air pollution (PM) and mortality if model selection variation is not accounted for. Methods: Actual-time series data from Cook County, Illinois, and Salt Lake County, Utah, for the period 1987 to 2000 were used to generate mortality time series. These series were used to examine the overconfidence resulting from ignoring variability introduced by...[Show more]
|Collections||ANU Research Publications|
|Source:||Annals of Epidemiology|
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