Measurement error in environmental exposures: Statistical implications for spatial air pollution models and gene environment interaction tests

Abstract

Measurement error is an important issue in studies of environmental epidemiology. We considered the effects of measurement error in environmental covariates in several important settings affecting current public health research. Throughout this dissertation, we investigate the impacts of measurement error and consider statistical methodology to fix that error