Guidance on Uncertainty Analysis in Scientific Assessments

被引:270
作者
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
机构
关键词
uncertainty analysis; scientific assessment; guidance;
D O I
10.2903/j.efsa.2018.5123
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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. (c) 2018 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.
引用
收藏
页数:39
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