Risk assessment of dietary exposure to pesticides using a Bayesian method

被引：50
|
作者：
Paulo, MJ
van der Voet, H
Jansen, MJW
ter Braak, CJF
van Klaveren, JD
机构：
[1] Univ Wageningen & Res Ctr, NL-6700 AC Wageningen, Netherlands
[2] RIKILT Inst Food Safety, Wageningen, Netherlands
来源：
PEST MANAGEMENT SCIENCE | 2005年 / 61卷 / 08期
关键词：
probabilistic risk assessment; acute risks; pesticide residues; statistical models;
D O I：
10.1002/ps.1060
中图分类号：
S3 [农学（农艺学）];
学科分类号：
0901 ;
摘要：
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. (c) 2005 Society of Chemical Industry.
引用
收藏
页码：759 / 766
页数：8
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