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

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.

Links & Downloads

1. Ackerman-Alexeeff, Stacey Elizabeth. 2013. Measurement error in environmental exposures: Statistical implications for spatial air pollution models and gene environment interaction tests. Doctoral dissertation, Harvard University.
2. http://dissertations.umi.com/gsas.harvard:11077
3. http://nrs.harvard.edu/urn-3:HUL.InstRepos:11169825

Tags

Biostatistics

air pollution

classical error

gene-environment

kriging

measurement error

Additional Fields

Identifer	oai:union.ndltd.org:harvard.edu/oai:dash.harvard.edu:1/11169825
Date	15 October 2013
Creators	Ackerman-Alexeeff, Stacey Elizabeth
Contributors	Coull, Brent Andrew
Publisher	Harvard University
Source Sets	Harvard University
Language	en_US
Detected Language	English
Type	Thesis or Dissertation
Rights	open