Journal Article


Simon John More
Michael John Jeger
Thorhallur Halldorsson
Diane Benford



guidance scientific assessment nature principles assessments uncertainty analysis decision making concepts

Guidance on Uncertainty Analysis in Scientific Assessments (2018)

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 decision-making. 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.
Collections Ireland -> University College Dublin -> Veterinary Medicine Research Collection
Ireland -> University College Dublin -> School of Veterinary Medicine
Ireland -> University College Dublin -> College of Health and Agricultural Sciences

Full list of authors on original publication

Simon John More, Michael John Jeger, Thorhallur Halldorsson, Diane Benford

Experts in our system

S J More
University College Dublin
Total Publications: 213
Diane Benford
University College Dublin
Total Publications: 6