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Consensus Exposure Predictions with the SEEM Framework
Citation:
Wambaugh, J., Woodrow Setzer, K. Isaacs, R. Sayre, AND K. Phillips. Consensus Exposure Predictions with the SEEM Framework. Presented at American Industrial Hygiene Association Webinar, RTP, NC, June 04, 2018. https://doi.org/10.23645/epacomptox.6953195
Impact/Purpose:
Presentation for American Industrial Hygiene Association Webinar June 2018
Description:
Models incorporate knowledge, assumptions and data; the trick is to know which model to use and when. Rough exposure assessments may be potentially useful if the uncertainty can be quantified and is acceptable i.e., 'fit for purpose'. The EPA relies on the Systematic Empirical Evaluation of Models (SEEM) framework to develop consensus models. Using SEEM, various predictors of exposure are combined according to calibrated weights reflecting estimates of their predictive ability based on monitoring data.
URLs/Downloads:
DOI: Consensus Exposure Predictions with the SEEM Framework
EPA-AIHA-SEEM-060418.PDF (PDF, NA pp, 1858.826 KB, about PDF)