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- W4306179245 abstract "As part of a tiered risk assessment, it may be necessary to perform higher tier exposure modeling. Here, the more conservative assumptions of low tier models are progressively replaced with more sophisticated models and/or more detailed data in order to better approximate the true distribution of exposures within a population. To quantify variability in dietary exposure, consumption databases are typically combined with monitoring data for concentrations. This linking is done using random simulation. Uncertainty is interpreted differently, as it represents the limitation in knowledge. Probabilistic models are also well suited to quantifying the levels of exposure from nondietary sources. This chapter describes the methods available to perform probabilistic exposure modeling that quantify variability and uncertainty. It also highlights some recent international projects to harmonize the methods, software, and databases required to perform such assessments." @default.
- W4306179245 created "2022-10-14" @default.
- W4306179245 creator A5053037921 @default.
- W4306179245 date "2023-01-01" @default.
- W4306179245 modified "2023-09-23" @default.
- W4306179245 title "Exposure assessment: modeling approaches including probabilistic methods, uncertainty analysis, and aggregate exposure from multiple sources" @default.
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- W4306179245 doi "https://doi.org/10.1016/b978-0-12-819470-6.00032-9" @default.
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