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Is Daily Mortality Associated Specifically with Fine Particles? Data Reconstruction and Replication of Analyses
Authors:Rebecca J Klemm  Robert M Mason Jr  Charles M Heilig  Lucas M Neas  Douglas W Dockery
Institution:1. Klemm Analysis Group , Washington , DC , USA;2. Epidemiology and Biomarkers Branch , Human Studies Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency , Research Triangle Park , North Carolina , USA;3. Department of Environmental Health , Harvard School of Public Health , Boston , Massachusetts , USA
Abstract:ABSTRACT

In 1996, Schwartz, Dockery, and Neas1 reported that daily mortality was more strongly associated with concentrations of PM2.5 than with concentrations of larger particles (coarse mass CM]) in six U.S. cities (“original paper'V'original analyses”). Because of the public policy implications of the findings and the uniqueness of the concentration data, we undertook a reanalysis of these results. This paper presents results of the reconstruction of these data and replication of the original analyses using the reconstructed data. The original investigators provided particulate air pollution data for this paper. Daily weather and daily counts of total and cause-specific deaths were reconstructed from original public records. The reconstructed particulate air pollution and weather data were consistent with the summaries presented in the original paper. Daily counts of deaths in the reconstructed data set were lower than in the original paper because of restrictions on residence and place of death. The reconstruction process identified an administrative change in county codes that led to higher numbers of deaths in St. Louis. Despite these differences in daily counts of deaths, the estimated effects of par-ticulate air pollution from the reconstructed dataset, using analytic methods as described in the original paper, produced combined effect estimates essentially equivalent to the originally published results. For example, the estimated association of a 10 |j.g/m3 increase in 2-day mean particulate air pollution on total mortality was 1.3% (95% confidence interval CI] 0.9-1.7%, t = 6.53) for PM25 based on the reconstructed dataset, compared to the originally reported association of 1.5% (95% CI 1.1-1.9%, t = 7.41). For coarse particles, the estimated association from the reconstructed dataset was 0.4% (95% CI -0.2-0.9%, t = 1.43) compared to the originally reported association of 0.4% (95% CI -0.1-1.0%, t = 1.48). These results from the reconstructed data suggest that the original results reported by Schwartz, Dockery, and Neas1 were essentially replicated.
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