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摘要翻译：
食物中自然含有许多污染物，这些污染物可能会产生不同的长期毒性影响。本文介绍了一种新的评估慢性食品风险的方法，该方法综合了给定污染物的药代动力学特性。对这种动态膳食暴露模型的估计应以长期消费数据为基础，目前只能由家庭预算调查提供，如法国的SECODIP小组。提出了一个半参数模型，将一系列家庭数量分解为个体数量，并将其作为KDEM的输入。作为一个例证，使用这种新的方法重新审视了与海产品中甲基汞的存在有关的风险评估。
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英文标题：
《Using decomposed household food acquisitions as inputs of a Kinetic
Dietary Exposure Model》
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作者：
Olivier Allais (CORELA), Jessica Tressou (METARISK, Hkust-Ismt)
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最新提交年份：
2007
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分类信息：
一级分类：Mathematics 数学
二级分类：Statistics Theory 统计理论
分类描述：Applied, computational and theoretical statistics: e.g. statistical inference, regression, time series, multivariate analysis, data analysis, Markov chain Monte Carlo, design of experiments, case studies
应用统计、计算统计和理论统计：例如统计推断、回归、时间序列、多元分析、数据分析、马尔可夫链蒙特卡罗、实验设计、案例研究
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一级分类：Statistics 统计学
二级分类：Statistics Theory 统计理论
分类描述：stat.TH is an alias for math.ST. Asymptotics, Bayesian Inference, Decision Theory, Estimation, Foundations, Inference, Testing.
Stat.Th是Math.St的别名。渐近，贝叶斯推论，决策理论，估计，基础，推论，检验。
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英文摘要：
Foods naturally contain a number of contaminants that may have different and long term toxic effects. This paper introduces a novel approach for the assessment of such chronic food risk that integrates the pharmacokinetic properties of a given contaminant. The estimation of such a Kinetic Dietary Exposure Model (KDEM) should be based on long term consumption data which, for the moment, can only be provided by Household Budget Surveys such as the SECODIP panel in France. A semi parametric model is proposed to decompose a series of household quantities into individual quantities which are then used as inputs of the KDEM. As an illustration, the risk assessment related to the presence of methyl mercury in seafood is revisited using this novel approach.
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PDF链接：
https://arxiv.org/pdf/704.0517
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