Measurement error caused by spatial misalignment in environmental epidemiology.

@article{Gryparis2009MeasurementEC,
  title={Measurement error caused by spatial misalignment in environmental epidemiology.},
  author={Alexandros Gryparis and Christopher J. Paciorek and Ariana Zeka and Joel Schwartz and Brent A. Coull},
  journal={Biostatistics},
  year={2009},
  volume={10 2},
  pages={258-74}
}
In many environmental epidemiology studies, the locations and/or times of exposure measurements and health assessments do not match. In such settings, health effects analyses often use the predictions from an exposure model as a covariate in a regression model. Such exposure predictions contain some measurement error as the predicted values do not equal the true exposures. We provide a framework for spatial measurement error modeling, showing that smoothing induces a Berkson-type measurement… CONTINUE READING

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