Open AccessIncorporating Measurement Error from Modeled Air Pollution Exposures into Epidemiological Analyses
Author(s) -
Evangelia Samoli,
Barbara K. Butland
Publication year - 2017
Publication title -
current environmental health reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 39
ISSN - 2196-5412
DOI - 10.1007/s40572-017-0160-1
Subject(s) - statistics , observational error , calibration , regression analysis , extrapolation , air pollution , environmental epidemiology , standard error , health effect , errors in variables models , regression , exposure assessment , parametric statistics , econometrics , data set , environmental science , environmental health , mathematics , medicine , chemistry , organic chemistry
Outdoor air pollution exposures used in epidemiological studies are commonly predicted from spatiotemporal models incorporating limited measurements, temporal factors, geographic information system variables, and/or satellite data. Measurement error in these exposure estimates leads to imprecise estimation of health effects and their standard errors. We reviewed methods for measurement error correction that have been applied in epidemiological studies that use model-derived air pollution data.
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