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文章基本信息

  • 标题:Guidance on Uncertainty Analysis in Scientific Assessments
  • 作者:Diane Benford ; Thorhallur Halldorsson ; Michael John Jeger
  • 期刊名称:EFSA Journal
  • 印刷版ISSN:1831-4732
  • 出版年度:2018
  • 卷号:16
  • 期号:1
  • 页码:n/a-n/a
  • DOI:10.2903/j.efsa.2018.5123
  • 语种:English
  • 出版社:European Food Safety Authority (EFSA), Parma
  • 摘要:

    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.

  • 关键词:uncertainty analysis;scientific assessment;guidance
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