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Guidance on Uncertainty Analysis in Scientific Assessments

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Guidance on Uncertainty Analysis in Scientific Assessments. / Benford, Diane; Halldorsson, Thorhallur; Jeger, Michael John et al.

In: EFSA Journal, Vol. 16, No. 1, 05123, 01.2018.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Benford, D, Halldorsson, T, Jeger, MJ, Knutsen, HK, More, S, Naegeli, H, Noteborn, H, Ockleford, C, Ricci, A, Rychen, G, Schlatter, JR, Silano, V, Solecki, R, Turck, D, Younes, M, Craig, P, Hart, A, Von Goetz, N, Koutsoumanis, K, Mortensen, A, Ossendorp, B, Martino, L, Merten, C, Mosbach-Schulz, O & Hardy, A 2018, 'Guidance on Uncertainty Analysis in Scientific Assessments', EFSA Journal, vol. 16, no. 1, 05123. https://doi.org/10.2903/j.efsa.2018.5123

APA

Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., Noteborn, H., Ockleford, C., Ricci, A., Rychen, G., Schlatter, J. R., Silano, V., Solecki, R., Turck, D., Younes, M., Craig, P., Hart, A., Von Goetz, N., Koutsoumanis, K., ... Hardy, A. (2018). Guidance on Uncertainty Analysis in Scientific Assessments. EFSA Journal, 16(1), [05123]. https://doi.org/10.2903/j.efsa.2018.5123

Vancouver

Benford D, Halldorsson T, Jeger MJ, Knutsen HK, More S, Naegeli H et al. Guidance on Uncertainty Analysis in Scientific Assessments. EFSA Journal. 2018 Jan;16(1):05123. Epub 2018 Jan 28. doi: 10.2903/j.efsa.2018.5123

Author

Benford, Diane ; Halldorsson, Thorhallur ; Jeger, Michael John et al. / Guidance on Uncertainty Analysis in Scientific Assessments. In: EFSA Journal. 2018 ; Vol. 16, No. 1.

Bibtex

@article{c132ed72e2154474aa2d5808881a7caa,
title = "Guidance on Uncertainty Analysis in Scientific Assessments",
abstract = "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.",
keywords = "uncertainty analysis, scientific assessment, guidance",
author = "Diane Benford and Thorhallur Halldorsson and Jeger, {Michael John} and Knutsen, {Helle Katrine} and Simon More and Hanspeter Naegeli and Hubert Noteborn and Colin Ockleford and Antonia Ricci and Guido Rychen and Schlatter, {Josef R} and Vittorio Silano and Roland Solecki and Dominique Turck and Maged Younes and Peter Craig and Andrew Hart and {Von Goetz}, Natalie and Kostas Koutsoumanis and Alicja Mortensen and Bernadette Ossendorp and Laura Martino and Caroline Merten and Olaf Mosbach-Schulz and Anthony Hardy",
note = "doi: 10.2903/j.efsa.2018.5123",
year = "2018",
month = jan,
doi = "10.2903/j.efsa.2018.5123",
language = "English",
volume = "16",
journal = "EFSA Journal",
issn = "1831-4732",
publisher = "John Wiley & Sons, Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Guidance on Uncertainty Analysis in Scientific Assessments

AU - Benford, Diane

AU - Halldorsson, Thorhallur

AU - Jeger, Michael John

AU - Knutsen, Helle Katrine

AU - More, Simon

AU - Naegeli, Hanspeter

AU - Noteborn, Hubert

AU - Ockleford, Colin

AU - Ricci, Antonia

AU - Rychen, Guido

AU - Schlatter, Josef R

AU - Silano, Vittorio

AU - Solecki, Roland

AU - Turck, Dominique

AU - Younes, Maged

AU - Craig, Peter

AU - Hart, Andrew

AU - Von Goetz, Natalie

AU - Koutsoumanis, Kostas

AU - Mortensen, Alicja

AU - Ossendorp, Bernadette

AU - Martino, Laura

AU - Merten, Caroline

AU - Mosbach-Schulz, Olaf

AU - Hardy, Anthony

N1 - doi: 10.2903/j.efsa.2018.5123

PY - 2018/1

Y1 - 2018/1

N2 - 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.

AB - 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.

KW - uncertainty analysis

KW - scientific assessment

KW - guidance

U2 - 10.2903/j.efsa.2018.5123

DO - 10.2903/j.efsa.2018.5123

M3 - Journal article

VL - 16

JO - EFSA Journal

JF - EFSA Journal

SN - 1831-4732

IS - 1

M1 - 05123

ER -