A distance-decay variable selection strategy for land use regression modeling of ambient air pollution exposures.

@article{Su2009ADV,
  title={A distance-decay variable selection strategy for land use regression modeling of ambient air pollution exposures.},
  author={Jason G Su and Michael Jerrett and Bernie Beckerman},
  journal={The Science of the total environment},
  year={2009},
  volume={407 12},
  pages={3890-8}
}
Land use regression (LUR) has emerged as an effective and economical means of estimating air pollution exposures for epidemiological studies. To date, no systematic method has been developed for optimizing the variable selection process. Traditionally, a limited number of buffer distances assumed having the highest correlations with measured pollutant concentrations are used in the manual stepwise selection process or a model transferred from another urban area. In this paper we propose a novel… CONTINUE READING

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