A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models

BACKGROUND: Exposure measurement error in copollutant epidemiologic models has the potential to introduce bias in relative risk (RR) estimates. A simulation study was conducted using empirical data to quantify the impact of correlated measurement errors in time-series analyses of air pollution and h...

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Detalles Bibliográficos
Autores principales: Dionisio, Kathie L., Chang, Howard H., Baxter, Lisa K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123332/
https://www.ncbi.nlm.nih.gov/pubmed/27884187
http://dx.doi.org/10.1186/s12940-016-0186-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123332/
https://www.ncbi.nlm.nih.gov/pubmed/27884187
http://dx.doi.org/10.1186/s12940-016-0186-0

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