title: Time-series analysis of air pollution and mortality: a statistical review.
abstract: The Walter A Rosenblith New Investigator Award provided funding to explore new statistical approaches for air pollution research. This report reviews and summarizes the methodologic and substantive contributions to time-series analyses of air pollution and mortality that this award made possible. The review is organized according to the following general topics: (1) semiparametric methods for time-series analyses of air pollution and mortality; (2) explorations into the sensitivity of generalized additive models (GAMs*) applied to time-series data; (3) combining information in multisite time-series studies; (4) effects of misclassification of exposure; (5) mortality displacement; (6) shape of the concentration-response curve; and (7) ongoing projects and future directions. Appendix A includes abstracts of papers published as reports and in peer-reviewed journals.
authors.affiliation: Department of Biostatistics, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD 21205-3179, USA. fdominic@jhsph.edu
authors.forename: Francesca
authors.initials: F
authors.lastname: Dominici
mesh_terms: D000397:Air Pollution; D003625:Data Collection; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D006801:Humans; D009026:Mortality / Q000639:trends*; D013996:Time and Motion Studies