title: Respiratory health and air pollution: additive mixed model analyses.
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.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, USA. bcoull@hsph.harvard.edu
authors.forename: B A
authors.initials: BA
authors.lastname: Coull
authors.forename: J
authors.initials: J
authors.lastname: Schwartz
authors.forename: M P
authors.initials: MP
authors.lastname: Wand