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Climate warming shifts riverine macroinvertebrate communities to be more sensitive to chemical pollutants (2024)
Journal Article
Sinclair, T., Craig, P., & Maltby, L. L. (2024). Climate warming shifts riverine macroinvertebrate communities to be more sensitive to chemical pollutants. Global Change Biology, 30(4), Article e17254. https://doi.org/10.1111/gcb.17254

Freshwaters are highly threatened ecosystems that are vulnerable to chemical pollution and climate change. Freshwater taxa vary in their sensitivity to chemicals and changes in species composition can potentially affect the sensitivity of assemblages... Read More about Climate warming shifts riverine macroinvertebrate communities to be more sensitive to chemical pollutants.

Spatial variation in the sensitivity of freshwater macroinvertebrate assemblages to chemical stressors (2023)
Journal Article
Liang, R., Sinclair, T. M., Craig, P. S., & Maltby, L. (2024). Spatial variation in the sensitivity of freshwater macroinvertebrate assemblages to chemical stressors. Water Research, 120854. https://doi.org/10.1016/j.watres.2023.120854

Assessing spatial variation in the chemical sensitivity of natural assemblages will enhance ecological relevance and reduce uncertainty in ecological risk assessments and the derivation of environmental quality standards (EQSs). Ho... Read More about Spatial variation in the sensitivity of freshwater macroinvertebrate assemblages to chemical stressors.

Application of evidence-based methods to construct mechanism-driven chemical assessment frameworks (2022)
Journal Article
Hoffmann, S., Aiassa, E., Angrish, M., Beausoleil, C., Bois, F., Ciccolallo, L., …Tsaioun, K. (2022). Application of evidence-based methods to construct mechanism-driven chemical assessment frameworks. ALTEX - Alternatives to Animal Experimentation, 39(3), 499-518. https://doi.org/10.14573/altex.2202141

The workshop titled “Application of evidence-based methods to construct mechanism-driven chemical assessment frameworks” was co-organized by the Evidence-based Toxicology Collaboration and the European Food Safety Authority (EFSA) and hosted by EFSA... Read More about Application of evidence-based methods to construct mechanism-driven chemical assessment frameworks.

Cumulative dietary risk characterisation of pesticides that have acute effects on the nervous system (2020)
Journal Article
Craig, P. S., Dujardin, B., Hart, A., Hernández‐Jerez, A. F., Hougaard Bennekou, S., Kneuer, C., …Mohimont, L. (2020). Cumulative dietary risk characterisation of pesticides that have acute effects on the nervous system. EFSA Journal, 18(4), Article e06087. https://doi.org/10.2903/j.efsa.2020.6087

A retrospective acute cumulative risk assessment of dietary exposure to pesticide residues, supported by an uncertainty analysis based on expert knowledge elicitation, was conducted for two effects on the nervous system: brain and/or erythrocyte acet... Read More about Cumulative dietary risk characterisation of pesticides that have acute effects on the nervous system.

Cumulative dietary risk characterisation of pesticides that have chronic effects on the thyroid (2020)
Journal Article
Craig, P. S., Dujardin, B., Hart, A., Hernandez‐Jerez, A. F., Hougaard Bennekou, S., Kneuer, C., …Mohimont, L. (2020). Cumulative dietary risk characterisation of pesticides that have chronic effects on the thyroid. EFSA Journal, 18(4), Article e06088. https://doi.org/10.2903/j.efsa.2020.6088

A retrospective chronic cumulative risk assessment of dietary exposure to pesticide residues, supported by an uncertainty analysis based on expert knowledge elicitation, was conducted for two effects on the thyroid, hypothyroidism and parafollicular... Read More about Cumulative dietary risk characterisation of pesticides that have chronic effects on the thyroid.

Applicability of in silico tools for the prediction of dermal absorption for pesticides (2018)
Journal Article
Kneuer, C., Charistou, A., Craig, P., Eleftheriadou, D., Engel, N., Kjaerstad, M., …Buist, H. (2018). Applicability of in silico tools for the prediction of dermal absorption for pesticides. EFSA Supporting Publications, 15(10), Article 1493E. https://doi.org/10.2903/sp.efsa.2018.en-1493

Based on the “Human in vitro dermal absorption datasets” published as supporting information to the revised EFSA Guidance on Dermal Absorption, in silico models for prediction of absorption across the skin have been evaluated. For this evaluation, a... Read More about Applicability of in silico tools for the prediction of dermal absorption for pesticides.

The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment (2018)
Journal Article
Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., …Hardy, A. (2018). The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment. EFSA Journal, 16(1), Article e05122. https://doi.org/10.2903/j.efsa.2018.5122

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

Guidance on Uncertainty Analysis in Scientific Assessments (2018)
Journal Article
Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., …Hardy, A. (2018). Guidance on Uncertainty Analysis in Scientific Assessments. EFSA Journal, 16(1), Article e05123. https://doi.org/10.2903/j.efsa.2018.5123

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... Read More about Guidance on Uncertainty Analysis in Scientific Assessments.

Fisher information under Gaussian quadrature models (2017)
Journal Article
Marques da Silva Júnior, A. H., Einbeck, J., & Craig, P. S. (2018). Fisher information under Gaussian quadrature models. Statistica Neerlandica, 72(2), 74-89. https://doi.org/10.1111/stan.12116

This paper develops formulae to compute the Fisher information matrix for the regression parameters of generalized linear models with Gaussian random effects. The Fisher information matrix relies on the estimation of the response variance under the m... Read More about Fisher information under Gaussian quadrature models.