Measurement Error and Environmental Epidemiology: a Policy Perspective

@article{Edwards2017MeasurementEA,
  title={Measurement Error and Environmental Epidemiology: a Policy Perspective},
  author={Jessie K Edwards and Alexander P. Keil},
  journal={Current Environmental Health Reports},
  year={2017},
  volume={4},
  pages={79-88}
}
Measurement error threatens public health by producing bias in estimates of the population impact of environmental exposures. Quantitative methods to account for measurement bias can improve public health decision making. We summarize traditional and emerging methods to improve inference under a standard perspective, in which the investigator estimates an exposure-response function, and a policy perspective, in which the investigator directly estimates population impact of a proposed… CONTINUE READING