A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models

Background Exposure measurement error in copollutant epidemiologic models has the potential to introduce bias in relative risk (RR) estimates. A simulation study was conducted using empirical data to quantify the impact of correlated measurement errors in time-series analyses of air pollution and health.