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Atmosphere
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July 29, 2021
Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM<sub>2.5</sub> Components
Tianyu Zhang, Guannan Geng, Yang Liu, et al.
Biometrics
|
June 27, 2014
A spectral method for spatial downscaling
Brian J Reich, Howard H Chang, Kristen M Foley
Environmental Health Perspectives
|
December 4, 2024
Greenspace Morphology and Preterm Birth: A State-Wide Study in Georgia, United States (2001-2016)
Huaqing Wang, Xucheng Huang, Hua Hao, et al.
Statistical Methods in Medical Research
|
May 5, 2012
Spatial health effects analysis with uncertain residential locations
Brian J Reich, Howard H Chang, Matthew J Strickland
Environmental Health Perspectives
|
July 9, 2014
An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models
Kathie L Dionisio, Lisa K Baxter, Howard H Chang
Environmental Science & Technology
|
October 26, 2018
An Ensemble Machine-Learning Model To Predict Historical PM<sub>2.5</sub> Concentrations in China from Satellite Data
Qingyang Xiao, Howard H Chang, Guannan Geng, et al.
Environmental Health : a Global Access Science Source
|
November 26, 2016
A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models
Kathie L Dionisio, Howard H Chang, Lisa K Baxter
Scientific Reports
|
April 8, 2017
Identification of prognostic genes and gene sets for early-stage non-small cell lung cancer using bi-level selection methods
Suyan Tian, Chi Wang, Howard H Chang, et al.
Statistics in Medicine
|
September 5, 2025
Modeling Joint Health Effects of Environmental Exposure Mixtures With Bayesian Additive Regression Trees
Jacob R Englert, Stefanie T Ebelt, Howard H Chang
Environmental Science & Technology
|
January 14, 2020
Incorporating Low-Cost Sensor Measurements into High-Resolution PM<sub>2.5</sub> Modeling at a Large Spatial Scale
Jianzhao Bi, Avani Wildani, Howard H Chang, et al.
Page
of 28
Search research articles
Search
Showing results (21-30 of 272) with videos related to
Sort By:
Page
of 28
Atmosphere
|
July 29, 2021
Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM<sub>2.5</sub> Components
Tianyu Zhang, Guannan Geng, Yang Liu, et al.
Biometrics
|
June 27, 2014
A spectral method for spatial downscaling
Brian J Reich, Howard H Chang, Kristen M Foley
Environmental Health Perspectives
|
December 4, 2024
Greenspace Morphology and Preterm Birth: A State-Wide Study in Georgia, United States (2001-2016)
Huaqing Wang, Xucheng Huang, Hua Hao, et al.
Statistical Methods in Medical Research
|
May 5, 2012
Spatial health effects analysis with uncertain residential locations
Brian J Reich, Howard H Chang, Matthew J Strickland
Environmental Health Perspectives
|
July 9, 2014
An empirical assessment of exposure measurement error and effect attenuation in bipollutant epidemiologic models
Kathie L Dionisio, Lisa K Baxter, Howard H Chang
Environmental Science & Technology
|
October 26, 2018
An Ensemble Machine-Learning Model To Predict Historical PM<sub>2.5</sub> Concentrations in China from Satellite Data
Qingyang Xiao, Howard H Chang, Guannan Geng, et al.
Environmental Health : a Global Access Science Source
|
November 26, 2016
A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models
Kathie L Dionisio, Howard H Chang, Lisa K Baxter
Scientific Reports
|
April 8, 2017
Identification of prognostic genes and gene sets for early-stage non-small cell lung cancer using bi-level selection methods
Suyan Tian, Chi Wang, Howard H Chang, et al.
Statistics in Medicine
|
September 5, 2025
Modeling Joint Health Effects of Environmental Exposure Mixtures With Bayesian Additive Regression Trees
Jacob R Englert, Stefanie T Ebelt, Howard H Chang
Environmental Science & Technology
|
January 14, 2020
Incorporating Low-Cost Sensor Measurements into High-Resolution PM<sub>2.5</sub> Modeling at a Large Spatial Scale
Jianzhao Bi, Avani Wildani, Howard H Chang, et al.
Page
of 28