EFSA requested its Scientific Committee to prepare a guidance document on appraising and integrating evidence from epidemiological studies for use in EFSA's scientific assessments. The guidance document provides an introduction to epidemiological stu ...
The European Food Safety Authority (EFSA) and the German Federal Institute for Risk Assessment (BfR) organised the International Conference on Uncertainty in Risk Analysis. Its aim was to bring together internationally recognized leaders of uncertainty an ...
This document provides guidance for communicators on how to communicate the various expressions of uncertainty described in EFSA's document: ‘Guidance on uncertainty analysis in scientific assessments’. It also contains specific guidance for assessor ...
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 asses ...
The Scientific Committee (SC) reconfirms that the benchmark dose (BMD) approach is a scientifically more advanced method compared to the NOAEL approach for deriving a Reference Point (RP). Most of the modifications made to the SC guidance of 2009 concern ...
To increase transparency and harmonisation, EFSA asked the Scientific Committee for advice on how cross-cutting guidance documents should be used across EFSA, reviewed and kept up-to-date. The Committee examined 23 documents that should be applied consist ...
Statistical analyses are an essential part of risk assessments. Statistical reporting varies considerably amongst the documents that EFSA receives and produces, which can lead to lack of transparency and reproducibility of results. This guidance aims to i ...
Quantitative risk assessments facilitate the decisions of risk managers. In the EU, risk assessment in food and feed safety is the responsibility of the European Food Safety Authority (EFSA). Quantitative risk models should be informed by systematically r ...