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The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment
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 E...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7009645/ https://www.ncbi.nlm.nih.gov/pubmed/32625670 http://dx.doi.org/10.2903/j.efsa.2018.5122 |
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author | Benford, Diane Halldorsson, Thorhallur Jeger, Michael John Knutsen, Helle Katrine More, Simon Naegeli, Hanspeter Noteborn, Hubert Ockleford, Colin Ricci, Antonia Rychen, Guido Schlatter, Josef R Silano, Vittorio Solecki, Roland Turck, Dominique Younes, Maged Craig, Peter Hart, Andrew Von Goetz, Natalie Koutsoumanis, Kostas Mortensen, Alicja Ossendorp, Bernadette Germini, Andrea Martino, Laura Merten, Caroline Mosbach‐Schulz, Olaf Smith, Anthony Hardy, Anthony |
author_facet | Benford, Diane Halldorsson, Thorhallur Jeger, Michael John Knutsen, Helle Katrine More, Simon Naegeli, Hanspeter Noteborn, Hubert Ockleford, Colin Ricci, Antonia Rychen, Guido Schlatter, Josef R Silano, Vittorio Solecki, Roland Turck, Dominique Younes, Maged Craig, Peter Hart, Andrew Von Goetz, Natalie Koutsoumanis, Kostas Mortensen, Alicja Ossendorp, Bernadette Germini, Andrea Martino, Laura Merten, Caroline Mosbach‐Schulz, Olaf Smith, Anthony Hardy, Anthony |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7009645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70096452020-07-02 The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment Benford, Diane Halldorsson, Thorhallur Jeger, Michael John Knutsen, Helle Katrine More, Simon Naegeli, Hanspeter Noteborn, Hubert Ockleford, Colin Ricci, Antonia Rychen, Guido Schlatter, Josef R Silano, Vittorio Solecki, Roland Turck, Dominique Younes, Maged Craig, Peter Hart, Andrew Von Goetz, Natalie Koutsoumanis, Kostas Mortensen, Alicja Ossendorp, Bernadette Germini, Andrea Martino, Laura Merten, Caroline Mosbach‐Schulz, Olaf Smith, Anthony Hardy, Anthony EFSA J Scientific Opinion 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. John Wiley and Sons Inc. 2018-01-24 /pmc/articles/PMC7009645/ /pubmed/32625670 http://dx.doi.org/10.2903/j.efsa.2018.5122 Text en © 2018 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority. https://creativecommons.org/licenses/by-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nd/4.0/ (https://creativecommons.org/licenses/by-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made. |
spellingShingle | Scientific Opinion Benford, Diane Halldorsson, Thorhallur Jeger, Michael John Knutsen, Helle Katrine More, Simon Naegeli, Hanspeter Noteborn, Hubert Ockleford, Colin Ricci, Antonia Rychen, Guido Schlatter, Josef R Silano, Vittorio Solecki, Roland Turck, Dominique Younes, Maged Craig, Peter Hart, Andrew Von Goetz, Natalie Koutsoumanis, Kostas Mortensen, Alicja Ossendorp, Bernadette Germini, Andrea Martino, Laura Merten, Caroline Mosbach‐Schulz, Olaf Smith, Anthony Hardy, Anthony The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment |
title | The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment |
title_full | The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment |
title_fullStr | The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment |
title_full_unstemmed | The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment |
title_short | The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment |
title_sort | principles and methods behind efsa's guidance on uncertainty analysis in scientific assessment |
topic | Scientific Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7009645/ https://www.ncbi.nlm.nih.gov/pubmed/32625670 http://dx.doi.org/10.2903/j.efsa.2018.5122 |
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