Statistical properties of longitudinal time-activity data for use in human exposure modeling

@article{Isaacs2013StatisticalPO,
  title={Statistical properties of longitudinal time-activity data for use in human exposure modeling},
  author={Kristin Isaacs and Thomas Mccurdy and Graham Glen and Melissa C. Nysewander and April Errickson and S. Forbes and Stephen Graham and Lisa McCurdy and Luther A. Smith and Nicolle S. Tulve and Daniel Alan Vallero},
  journal={Journal of Exposure Science and Environmental Epidemiology},
  year={2013},
  volume={23},
  pages={328-336}
}
Understanding the longitudinal properties of the time spent in different locations and activities is important in characterizing human exposure to pollutants. The results of a four-season longitudinal time-activity diary study in eight working adults are presented, with the goal of improving the parameterization of human activity algorithms in EPA’s exposure modeling efforts. Despite the longitudinal, multi-season nature of the study, participant non-compliance with the protocol over time did… CONTINUE READING
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