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Using a modified set of the previously generated exposure estimates, we examined the exposure error and between-pollutant relationships and quantified potential attenuation of model coefficients in singleand bipollutant models at the ZIP code level for ambient-generated [PM.
The correlation between the exposure estimates, the degree of exposure error for each pollutant, and the correlation of exposure errors between pollutants must all be considered in order to assess the impacts of exposure error on health risk estimates in a multi-pollutant model (Zeger et al.
We present three types of exposure error ([[delta].
We calculated the between-pollutant Pearson correlations over time for each exposure estimation approach--and for each type of exposure error--to provide information on the collinearity of exposure estimates and exposure error that must be accounted for in a multipollutant model.
2) presented an overview of the exposure error or misclassification problem from the general epidemiologic perspective.
In one of the early papers on the topic of exposure error in studies of air pollution, Shy et al.
Because exposure measurement error may have substantial implications for interpreting epidemiologic studies on air pollution, particularly the time-series analyses, we developed one systematic conceptual formulation of the problem of exposure error in epidemiologic time-series studies of air pollution and considered the possible consequences for relative risk estimation.
Exposure errors in time-series studies can occur as a continuum of measurement errors between classic-type errors and Berkson errors, as has been presented in detail by Zeger et al.
False positive exposure errors and low exposure prevalence in community-based case-control studies.