Literature DB >> 16457929

Analysis of multivariate extreme intakes of food chemicals.

M J Paulo1, H van der Voet, J C Wood, G R Marion, J D van Klaveren.   

Abstract

A recently published multivariate Extreme Value Theory (EVT) model is applied to the estimation of population risks associated with dietary intake of pesticides. The objective is to quantify the acute risk of pesticide intake above a threshold and relate it to the consumption of specific primary food products. As an example daily intakes of a pesticide from three foods are considered. The method models and extrapolates simultaneous intakes of pesticide, and estimates probability of exceeding unobserved large intakes. Multivariate analysis was helpful in identifying whether the avoidance of certain food combinations would reduce the likelihood of exceeding a threshold. We argue that the presented method can be an important contribution to exposure assessment studies.

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Year:  2006        PMID: 16457929     DOI: 10.1016/j.fct.2005.12.003

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  3 in total

1.  Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.

Authors:  Stuart Batterman; Feng-Chiao Su; Shi Li; Bhramar Mukherjee; Chunrong Jia
Journal:  Res Rep Health Eff Inst       Date:  2014-06

2.  Extreme value analyses of VOC exposures and risks: A comparison of RIOPA and NHANES datasets.

Authors:  Feng-Chiao Su; Chunrong Jia; Stuart Batterman
Journal:  Atmos Environ (1994)       Date:  2012-12-01       Impact factor: 4.798

3.  How the Black Swan damages the harvest: Extreme weather events and the fragility of agriculture in development countries.

Authors:  Nadine Marmai; Maria Franco Villoria; Marco Guerzoni
Journal:  PLoS One       Date:  2022-02-02       Impact factor: 3.240

  3 in total

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