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

Table B.20.

Assessment of Confidence intervals (when well applied) against evaluation criteria

Criteria Evidence of current acceptance Expertise needed to conduct Time needed Theoretical basis Degree/extent of subjectivity Method of propagation Treatment of uncertainty and variability Meaning of output Transparency and reproducibility Ease of understanding for non‐specialist
Stronger characteristicsInline graphic International guidelines or standard scientific method No specialist knowledge required Hours Well established, coherent basis for all aspects Judgement used only to choose method of analysis Calculation based on appropriate theory Different types of uncertainty & variability. quantified separately Range and probability of possible answers All aspects of process and reasoning fully documented All aspects fully understandable
EU level guidelines or widespread in practice Can be used with guidelines or literature Days Most but not all aspects supported by theory Combination of data and expert judgement Formal expert judgement Uncertainty and variability quantified separately Range and relative possibility of answers Most aspects of process and reasoning well documented Outputs and most of process understandable
National guidelines, or well established in practice or literature Training course needed Weeks Some aspects supported by theory Expert judgement on defined quantitative scales Informal expert judgement Uncertainty and variability distinguished qualitatively Range of answers but no weighting Process well documented but limited explanation of reasoning Outputs and principles of process understandable
Some publications and/or regulatory practice Substantial expertise or experience needed A few months Limited theoretical basis Expert judgement on defined ordinal scales Calculation or matrices without theoretical basis Quantitative measure of degree of uncertainty Limited explanation of process and/or basis for conclusions Outputs understandable but not process
Weaker characteristics Newly developed Professional statistician needed Many months Pragmatic approach without theoretical basis Verbal description, no defined scale No propagation No distinction between variability and uncertainty Ordinal scale or narrative description for degree of uncertainty No explanation of process or basis for conclusions Process and outputs only understandable for specialists