Risk assessment of dietary exposure to pesticides using a Bayesian method
2005
Paulo, M.J. | Voet, H. van der | Jansen, M.J.W. | Braak, C.J.F ter | Klaveren, J.D van
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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