Exposure measurement error in air pollution studies: A framework for assessing shared, multiplicative measurement error in ensemble learning estimates of nitrogen oxides

BACKGROUND: Increasingly ensemble learning-based spatiotemporal models are being used to estimate residential air pollution exposures in epidemiological studies. While these machine learning models typically have improved performance, they suffer from exposure measurement error that is inherent in a...

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Detalhes bibliográficos
Publicado no:Environ Int
Main Authors: Girguis, Mariam S., Li, Lianfa, Lurmann, Fred, Wu, Jun, Urman, Robert, Rappaport, Edward, Breton, Carrie, Gilliland, Frank, Stram, Daniel, Habre, Rima
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6499078/
https://ncbi.nlm.nih.gov/pubmed/30711654
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.envint.2018.12.025
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