Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of prediction model parsimony in integrated empirical geographic regression
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Title
Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of prediction model parsimony in integrated empirical geographic regression
Authors
Keywords
Air pollution, Pollutants, Ozone, Forecasting, Census, Land use, Geoinformatics, Covariance
Journal
PLoS One
Volume 15, Issue 2, Pages e0228535
Publisher
Public Library of Science (PLoS)
Online
2020-02-19
DOI
10.1371/journal.pone.0228535
References
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Note: Only part of the references are listed.- Satellite-Based Land-Use Regression for Continental-Scale Long-Term Ambient PM2.5 Exposure Assessment in Australia
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- Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression
- (2016) Michael T. Young et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors
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- Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study
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- A national satellite-based land-use regression model for air pollution exposure assessment in Australia
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- Measurement error in two-stage analyses, with application to air pollution epidemiology
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- A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology
- (2013) Paul D. Sampson et al. ATMOSPHERIC ENVIRONMENT
- A National Prediction Model for PM 2.5 Component Exposures and Measurement Error–Corrected Health Effect Inference
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- Air Pollution and Individual and Neighborhood Socioeconomic Status: Evidence from the Multi-Ethnic Study of Atherosclerosis (MESA)
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- A Hybrid Approach to Estimating National Scale Spatiotemporal Variability of PM2.5 in the Contiguous United States
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- Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project
- (2013) Rob Beelen et al. LANCET
- A review of variable selection methods in Partial Least Squares Regression
- (2012) Tahir Mehmood et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
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- (2012) Marloes Eeftens et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Comparing universal kriging and land-use regression for predicting concentrations of gaseous oxides of nitrogen (NOx) for the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)
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- Does More Accurate Exposure Prediction Necessarily Improve Health Effect Estimates?
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