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Multipollutant measurement error in air pollution epidemiology studies arising from predicting exposures with penalized regression splines
Air pollution epidemiology studies are trending towards a multi-pollutant approach. In these studies, exposures at subject locations are unobserved and must be predicted using observed exposures at misaligned monitoring locations. This induces measurement error, which can bias the estimated health e...
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| Vydáno v: | J R Stat Soc Ser C Appl Stat |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5076926/ https://ncbi.nlm.nih.gov/pubmed/27789915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12144 |
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