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Respiratory health and air pollution: additive mixed model analyses
B A Coull1, J Schwartz, M P Wand
1Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, USA. bcoull@hsph.harvard.edu
Biostatistics (Oxford, England)
|August 23, 2003
Abstract:
We conduct a reanalysis of data from the Utah Valley respiratory health/air pollution study of Pope and co-workers (Pope et al., 1991) using additive mixed models. A relatively recent statistical development (e.g. Wang, 1998; Verbyla et al., 1999; Lin and Zhang, 1999), the methods allow for smooth functional relationships, subject-specific effects and time series error structure. All three of these are apparent in the Utah Valley data.