Spatial misalignment in time series studies of air pollution and health data.
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ABSTRACT:
SUBMITTER: Peng RD
PROVIDER: S-EPMC3025780 | biostudies-literature | 2010 Oct
REPOSITORIES: biostudies-literature
Publications
Spatial misalignment in time series studies of air pollution and health data.
Peng Roger D RD Bell Michelle L ML
Biostatistics (Oxford, England) 20100414 4
Time series studies of environmental exposures often involve comparing daily changes in a toxicant measured at a point in space with daily changes in an aggregate measure of health. Spatial misalignment of the exposure and response variables can bias the estimation of health risk, and the magnitude of this bias depends on the spatial variation of the exposure of interest. In air pollution epidemiology, there is an increasing focus on estimating the health effects of the chemical components of pa ...[more]
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