Risk assessment of dietary exposure to pesticides using a Bayesian method |
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| Authors: | Paulo M João van der Voet Hilko Jansen Michiel J W ter Braak Cajo J F van Klaveren Jacob D |
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| Institution: | Biometris, Wageningen University and Research Centre, Wageningen, The Netherlands. |
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| Abstract: | Risk assessment of pesticides can be a statistically difficult problem because pesticides occur only occasionally, but they may occur on multiple components in the diet. A Bayesian statistical model is presented which incorporates multivariate modelling of food consumption and modelling of pesticide measurements which are for a large part below a measurement threshold. It is shown that Bayesian modelling is feasible for a limited number of food components, and that in a data-rich situation the model compares well with an empirical Monte Carlo modelling. |
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| Keywords: | probabilistic risk assessment acute risks pesticide residues statistical models |
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