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Dr Claire Ellison
SFHEA, PhD, PGCAP, PGCE, BSc (Hons)

Contact

Claire.Ellison@liverpool.ac.uk

+44 (0)151 794 9417

Publications

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2023

Effects of adaptive comparative judgement on student engagement with peer formative feedback

Ellison, C. (2023). Effects of adaptive comparative judgement on student engagement with peer formative feedback. Practitioner Research in Higher Education.

Journal article

2022

Developing student self-regulation through comparative peer-assessment

Ellison, C. (2022). Developing student self-regulation through comparative peer-assessment. Poster session presented at the meeting of Assessment in Higher Education Conference 2022. Manchester, UK.

Poster

In Silico Models for Hepatotoxicity

Ellison, C., Hewitt, M., & Przybylak, K. (2022). In Silico Models for Hepatotoxicity. In In Silico Methods for Predicting Drug Toxicity. New York: Humana.

Chapter

2020

Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species

Ebbrell, D. J., Cronin, M. T. D., Ellison, C. M., Firman, J. W., & Madden, J. C. (2020). Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species. In Methods in Pharmacology and Toxicology (pp. 331-356). Springer US. doi:10.1007/978-1-0716-0150-1_15

DOI
10.1007/978-1-0716-0150-1_15
Chapter

2016

Assessment of in silico approaches to predict adverse effects to the kidney and bladder

Mellor, C. L., Ellison, C. M., Enoch, S. J., Jais, D. M., Madden, J. C., Soares, S., . . . Cronin, M. T. (2016). Assessment of in silico approaches to predict adverse effects to the kidney and bladder. Toxicology Letters, 258, S117. doi:10.1016/j.toxlet.2016.06.1477

DOI
10.1016/j.toxlet.2016.06.1477
Journal article

Improving in silico methods of ecotoxicity hazard identification for active pharmaceutical ingredients (APIs)

Ellison, C. M., Madden, J. C., Mellor, C. L., & Cronin, M. T. (2016). Improving in silico methods of ecotoxicity hazard identification for active pharmaceutical ingredients (APIs). Toxicology Letters, 258, S121. doi:10.1016/j.toxlet.2016.06.1490

DOI
10.1016/j.toxlet.2016.06.1490
Journal article
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