Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research.

@article{Healy2012QuantifyingTM,
  title={Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research.},
  author={Martin A Healy and Jason A Gilliland},
  journal={Spatial and spatio-temporal epidemiology},
  year={2012},
  volume={3 1},
  pages={55-67}
}
In spatial epidemiologic and public health research it is common to use spatially aggregated units such as centroids of postal/zip codes, census tracts, dissemination areas, blocks or block groups as proxies for sample unit locations. Few studies, however, address the potential problems associated with using these units as address proxies. The purpose of this study is to quantify the magnitude of distance errors and accessibility misclassification that result from using several commonly-used… CONTINUE READING