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欧洲食品安全局科学评估中不确定性分析指南背后的原则和方法。

The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment.

作者信息

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

出版信息

EFSA J. 2018 Jan 24;16(1):e05122. doi: 10.2903/j.efsa.2018.5122. eCollection 2018 Jan.

Abstract

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 Every EFSA Panel and Unit applied the draft Guidance to at least one assessment in their work area during a trial period of one year.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.

摘要

为满足欧洲食品安全局(EFSA)工作透明度的总体要求,其所有科学评估都必须考虑不确定性。评估必须清晰明确地说明已识别出哪些不确定性来源以及它们对评估结论有何影响。这适用于EFSA的所有领域、所有类型的科学评估以及影响评估的所有类型的不确定性。本意见阐述了支持一份单独发布的关于EFSA科学评估中不确定性的简明指南文件的原则和方法。这些文件并未规定不确定性分析的具体方法,而是提供了一个灵活的框架,可根据每项评估的需求从中选择不同方法。评估人员应系统地识别不确定性来源,检查评估的每个部分,以尽量减少忽视重要不确定性的风险。不确定性可以定性或定量地表达。分别量化影响评估的每个不确定性来源既无必要也不可能。然而,评估人员应以定量方式表达尽可能多的已识别不确定性来源的综合影响。该指南描述了实际方法。不确定性分析应以灵活、迭代的方式进行,从适合评估的层面开始,并在可用时间内根据需要或可能的程度对分析进行完善。不确定性分析的方法和结果应全面、透明地报告。在为期一年的试行期内,EFSA的每个专家小组和部门都将该指南草案应用于其工作领域的至少一项评估。在此期间积累的经验促成了指南的改进。科学委员会认为,不确定性分析对EFSA的专家小组和工作人员来说将是无条件的,并且必须融入EFSA工作所有领域的科学评估中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2289/7009645/a4b2c0869892/EFS2-16-e05122-g035.jpg

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