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Using Supervised Principal Components Analysis to Assess Multiple Pollutant Effects
BACKGROUND: Many investigations of the adverse health effects of multiple air pollutants analyze the time series involved by simultaneously entering the multiple pollutants into a Poisson log-linear model. This method can yield unstable parameter estimates when the pollutants involved suffer high in...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
National Institute of Environmental Health Sciences
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764132/ https://www.ncbi.nlm.nih.gov/pubmed/17185279 http://dx.doi.org/10.1289/ehp.9226 |