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The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment

Research output: Contribution to Journal/MagazineJournal articlepeer-review

  • Diane Benford
  • Thorhallur Halldorsson
  • Michael John Jeger
  • Helle Katrine Knutsen
  • Simon More
  • Hanspeter Naegeli
  • Hubert Noteborn
  • Antonia Ricci
  • Guido Rychen
  • Josef R Schlatter
  • Vittorio Silano
  • Roland Solecki
  • Dominique Turck
  • Maged Younes
  • Peter Craig
  • Andrew Hart
  • Natalie Von Goetz
  • Kostas Koutsoumanis
  • Alicja Mortensen
  • Bernadette Ossendorp
  • Andrea Germini
  • Laura Martino
  • Caroline Merten
  • Olaf Mosbach-Schulz
  • Anthony Smith
  • Anthony Hardy
Article number05122
<mark>Journal publication date</mark>01/2018
<mark>Journal</mark>EFSA Journal
Issue number1
Number of pages235
Publication StatusPublished
Early online date24/01/18
<mark>Original language</mark>English


Abstract To meet the general requirement for transparency in EFSA's work, all its scientific assessments must consider uncertainty. Assessments must say clearly and unambiguously what sources of uncertainty have been identified and what is their impact on the assessment conclusion. This applies to all EFSA's areas, all types of scientific assessment and all types of uncertainty affecting assessment. This current Opinion describes the principles and methods supporting a concise Guidance Document on Uncertainty in EFSA's Scientific Assessment, published separately. These documents do not prescribe specific methods for uncertainty analysis but rather provide a flexible framework within which different methods may be selected, according to the needs of each assessment. Assessors should systematically identify sources of uncertainty, checking each part of their assessment to minimise the risk of overlooking important uncertainties. Uncertainty may be expressed qualitatively or quantitatively. It is neither necessary nor possible to quantify separately every source of uncertainty affecting an assessment. However, assessors should express in quantitative terms the combined effect of as many as possible of identified sources of uncertainty. The guidance describes practical approaches. Uncertainty analysis should be conducted in a flexible, iterative manner, starting at a level appropriate to the assessment and refining the analysis as far as is needed or possible within the time available. The methods and results of the uncertainty analysis should be reported fully and transparently. Every EFSA Panel and Unit applied the draft Guidance to at least one assessment in their work area during a trial period of one year. Experience gained in this period resulted in improved guidance. The Scientific Committee considers that uncertainty analysis will be unconditional for EFSA Panels and staff and must be embedded into scientific assessment in all areas of EFSA's work.

Bibliographic note

doi: 10.2903/j.efsa.2018.5122