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Johns Hopkins University, Dept. of Biostatistics Working Papers
Accountability; Confounding; Fine particulate matter; Spatio-temporal data; Trends
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Trends In Particulate Matter And Mortality: An Approach To The Assessment Of Unmeasured Confounding, Holly Janes, Francesca Dominici, Scott Zeger
Trends In Particulate Matter And Mortality: An Approach To The Assessment Of Unmeasured Confounding, Holly Janes, Francesca Dominici, Scott Zeger
Johns Hopkins University, Dept. of Biostatistics Working Papers
We propose a method for diagnosing confounding bias under a model which links a spatially and temporally varying exposure and health outcome. We decompose the association into orthogonal components, corresponding to distinct spatial and temporal scales of variation. If the model fully controls for confounding, the exposure effect estimates should be equal at the different temporal and spatial scales. We show that the overall exposure effect estimate is a weighted average of the scale-specific exposure effect estimates.
We use this approach to estimate the association between monthly averages of fine particles (PM2.5) over the preceding 12 months and monthly mortality …