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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| 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 |