Statistical methods to evaluate health effects associated with major sources of air pollution: a case-study of breathing patterns during exposure to concentrated Boston air particles
We conduct a case-study evaluating the source-specific effects of particulate matter on respiratory function. Using a structural equation approach, we assess the effect of different receptor models on the estimated source-specific effects for univariate respiratory response. Furthermore, we extend the structural equation model by placing a factor analysis model on the response to represent the measured respiratory responses in terms of underlying respiratory patterns. We estimate the particulate matter source-specific effects on respiratory rate, accentuated normal breathing and airway irritation and find a strong increase in airway irritation that is associated with exposure to motor vehicle particulate matter. Copyright (c) 2008 Royal Statistical Society.
| Year of publication: |
2008
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|---|---|
| Authors: | Nikolov, Margaret C. ; Coull, Brent A. ; Catalano, Paul J. ; Diaz, Edgar ; Godleski, John J. |
| Published in: |
Journal of the Royal Statistical Society Series C. - Royal Statistical Society - RSS, ISSN 0035-9254. - Vol. 57.2008, 3, p. 357-378
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| Publisher: |
Royal Statistical Society - RSS |
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