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Guidance on Uncertainty Analysis in Scientific Assessments
Diane Benford, Thorhallur Ingi Halldorsson, Michael John Jeger, Helle Katrine Knutsen, Simon John More, Hanspeter Naegeli, Hubert Noteborn, Colin Ockleford, Antonia Ricci, Guido Rychen, Josef Rudolf Schlatter, Vittorio Silano, Roland Solecki, Dominique Turck, Maged Younes, Peter Craig, Andrew Hart, Natalie von Goetz, Kostas Koutsoumanis, Alicja Mortensen, Bernadette Ossendorp, Laura Martino, Caroline Merten, Olaf Mosbach-Schulz, Anthony Hardy

Guidance on Uncertainty Analysis in Scientific Assessments

Science & Mathematics Published 2018 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title Guidance on Uncertainty Analysis in Scientific Assessments
Author / Organization Diane Benford, Thorhallur Ingi Halldorsson, Michael John Jeger, Helle Katrine Knutsen, Simon John More, Hanspeter Naegeli, Hubert Noteborn, Colin Ockleford, Antonia Ricci, Guido Rychen, Josef Rudolf Schlatter, Vittorio Silano, Roland Solecki, Dominique Turck, Maged Younes, Peter Craig, Andrew Hart, Natalie von Goetz, Kostas Koutsoumanis, Alicja Mortensen, Bernadette Ossendorp, Laura Martino, Caroline Merten, Olaf Mosbach-Schulz, Anthony Hardy
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2018
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-243510
Original Source Link Visit Source Page on hal.science »