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Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: Insights into spatial variability using high-resolution satellite data

Many epidemiological studies use predicted air pollution exposures as surrogates for true air pollution levels. These predicted exposures contain exposure measurement error, yet simulation studies have typically found negligible bias in resulting health effect estimates. However, previous studies ty...

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Detalhes bibliográficos
Publicado no:J Expo Sci Environ Epidemiol
Main Authors: Alexeeff, Stacey E., Schwartz, Joel, Kloog, Itai, Chudnovsky, Alexandra, Koutrakis, Petros, Coull, Brent A.
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4758216/
https://ncbi.nlm.nih.gov/pubmed/24896768
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/jes.2014.40
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