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. 2008 Apr 26;116(8):1040–1046. doi: 10.1289/ehp.11079

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Graphic model (adapted from Bernillon and Bois 2000). Circles represent unknown quantities to be updated via Bayes’ theorem: population mean (μ) and variance (∑), concentrations (C_S), and error (σ²). Squares represent the known quantities of time (t), PBPK model and exposure parameters (φ), and measured blood concentrations (C_V). The triangle represents the deterministic model (f ). The solid arrows represent conditional dependence, and the dashed arrow represents a deterministic link. Individuals are represented by the layered boxes, and are considered to be a subset of the population.