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| Sanga, R.N.; Bartell, S.M.; Ponce, R.A.; Boischo, A.A.P.; Joiris, C.R.; Pierce, C.H.; Faustman, S.M.. |
| This article presents a general model for estimating population heterogeneity and “lack of knowledge” uncertainty in methylmercury (MeHg) exposure assessments using two-dimensional Monte Carlo analysis. Using data from fish-consuming populations in Bangladesh, Brazil, Sweden, and the United Kingdom, predictive model estimates of dietary MeHg exposures were compared against those derived from biomarkers (i.e., [Hg]hair and [Hg]blood). By disaggregating parameter uncertainty into components (i.e., population heterogeneity, measurement error, recall error, and sampling error) estimates were obtained of the contribution of each component to the overall uncertainty. Steady-state diet:hair and diet:blood MeHg exposure ratios were estimated for each population... |
| Tipo: Info:eu-repo/semantics/article |
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| Ano: 2001 |
URL: http://www.vliz.be/nl/open-marien-archief?module=ref&refid=6917 |
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