Dr Kaitlyn Hair
- Centre for Clinical Brain Sciences
- CAMARADES
Contact details
- Email: kaitlyn.hair@ed.ac.uk
- Web: ORCID ID
Background
Kaitlyn is a post doctoral researcher funded by Alzheimer’s Research UK. With a background in Neuroscience and Psychology, she is interested in curating and evaluating the evidence from preclinical animal models of neurological diseases to inform future research and improve methodological rigour and reporting quality. She has lead the development of Systematic Online Living Evidence Summaries across a number of research domains, and developed pipelines of integrated AI tools to accelerate evidence synthesis.
Qualifications
- Psychology & Neuroscience BSc, University of Glasgow, 2012-2016
- PhD, Department of Clinical Neurosciences, University of Edinburgh, 2017-2021
-
Improving the quality of toxicology and environmental health systematic reviews: What journal editors can do
In:
ALTEX - Alternatives to Animal Experimentation
DOI: https://doi.org/10.14573/altex.2106111
Research output: Contribution to Journal › Article (Published) -
The Automated Systematic Search Deduplicator (ASySD): a rapid, open-source, interoperable tool to remove duplicate citations in biomedical systematic reviews
(16 pages)
DOI: https://doi.org/10.1101/2021.05.04.442412
Research output: › Preprint (Published) -
Results of a randomised controlled trial comparing two different incentives to improve survey response rates
DOI: https://doi.org/10.31235/osf.io/sm36a
Research output: › Preprint (Published) -
Design of Meta-Analysis Studies
DOI: https://doi.org/10.1007/164_2019_289
Research output: › Chapter (peer-reviewed) (Published) -
A randomised controlled trial of an Intervention to Improve Compliance with the ARRIVE guidelines (IICARus)
In:
Research integrity and peer review, vol. 4
DOI: https://doi.org/10.1186/s41073-019-0069-3
Research output: Contribution to Journal › Article (Published) -
Animal models of chemotherapy-induced peripheral neuropathy: A machine-assisted systematic review and meta-analysis
In:
PLoS Biology, vol. 17, pp. e3000243
DOI: https://doi.org/10.1371/journal.pbio.3000243
Research output: Contribution to Journal › Letter (Published)