Guidance on Uncertainty Analysis in Scientific Assessments

uncertainty analysis, scientific assessment, guidance
First published in the EFSA Journal
24. Januar 2018
Adopted
15. November 2017
Type
Guidance

Abstract

Uncertainty analysis is the process of identifying limitations in scientific knowledge and evaluating their implications for scientific conclusions. It is therefore relevant in all EFSA’s scientific assessments and also necessary, to ensure that the assessment conclusions provide reliable information for decisionmaking. The form and extent of uncertainty analysis, and how the conclusions should be reported, vary widely depending on the nature and context of each assessment and the degree of uncertainty
that is present. This document provides concise guidance on how to identify which options for uncertainty analysis are appropriate in each assessment, and how to apply them. It is accompanied by a separate, supporting opinion that explains the key concepts and principles behind this Guidance, and describes the methods in more detail.

Panel members at the time of adoption

Anthony Hardy, Diane Benford, Thorhallur Halldorsson, Michael John Jeger, Helle Katrine Knutsen, Simon More, Hanspeter Naegeli, Hubert Noteborn, Colin Ockleford, Antonia Ricci, Guido Rychen, Josef R Schlatter, Vittorio Silano, Roland Solecki, Dominique Turck and Maged Younes.
Scientific Committee
Contact
sc.secretrariat [at] efsa.europa.eu
doi
10.2903/j.efsa.2018.5123
EFSA Journal 2018;16(1):5123
Question Number
On request from
EFSA