Measurement error in environmental exposures
Subtitle: Statistical implications for spatial air pollution models and gene environment interaction tests
Contributors: Coull, Brent A.; Lin, Xihong; Schwartz, Joel
Published: 2013
Language: eng
Description: 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.
Notes: Keywords: air pollution, classical error, gene-environment, kriging, measurement error.

Thesis Ph.D. Harvard University 2013