Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 346139
Title Analysis of multivariate extreme intakes of food chemicals
Author(s) Paulo, M.J.; Voet, H. van der; Wood, J.C.; Marion, G.R.; Klaveren, J.D. van
Source Food and Chemical Toxicology 44 (2006)7. - ISSN 0278-6915 - p. 994 - 1005.
DOI https://doi.org/10.1016/j.fct.2005.12.003
Department(s) Biometris (WU MAT)
PRI Biometris
RIKILT - Business Unit Safety & Health
Publication type Refereed Article in a scientific journal
Publication year 2006
Keyword(s) exposure assessment - dietary exposure - pesticides - statistics - risk
Abstract A recently published multivariate Extreme Value Theory (EVT) model [Heffernan, J.E., Tawn, J.A., 2004. A conditional approach for multivariate extreme values (with discussion). Journal of the Royal Statistical Society Series B 66 (3), 497¿546] 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.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.