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Guidance on Uncertainty Analysis in Scientific Assessments

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 infor...

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Detalles Bibliográficos
Autores principales: 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, Martino, Laura, Merten, Caroline, Mosbach‐Schulz, Olaf, Hardy, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7009727/
https://www.ncbi.nlm.nih.gov/pubmed/32625671
http://dx.doi.org/10.2903/j.efsa.2018.5123
Descripción
Sumario: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.