Author

Kaitlyn Hair

University of EdinburghORCID 0000-0003-0180-7343Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Emily S. SenaiD· 3 shared Jing LiaoiD· 3 shared Malcolm Robert MacleodiD· 3 shared Gillian L. CurrieiD· 2 shared Qianying WangiD· 2 shared Sarah McCanniD· 2 shared Zsanett BahoriD· 2 shared Alexandra Bannach‐BrowniD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBioinformatics

Emily S. SenaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsBMC BiologyPeer-reviewedSep 6, 2023

The Automated Systematic Search Deduplicator (ASySD): a rapid, open-source, interoperable tool to remove duplicate citations in biomedical systematic reviews.

Kaitlyn Hair, Zsanett Bahor, Malcolm Robert Macleod…·Emily S. Sena

ASySD is a tool that efficiently removes duplicate citations in biomedical systematic reviews with high sensitivity and reliability.

103 citationstop 3%

statistical modelbenchmarking

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NeurosciencePLoS BiologyPeer-reviewedMay 20, 2019

Animal models of chemotherapy-induced peripheral neuropathy: a machine-assisted systematic review and meta-analysis A comprehensive summary of the field to inform robust experimental design

Gillian L. Currie, Helena N. Angel-Scott, Lesley Colvin…·Emily S. Sena

82 citations

ratmachine learning (classical)

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BioinformaticsbioRxivPreprintJan 30, 2018

Estimating the statistical performance of different approaches to meta-analysis of data from animal studies in identifying the impact of aspects of study design

Qianying Wang, Jing Liao, Kaitlyn Hair…·Malcolm Robert Macleod

This paper compares statistical methods for meta-analysis of animal studies, finding that normalized mean difference (NMD) has higher power than standardized mean difference (SMD), and meta-regression outperforms stratified meta-analysis.

14 citations

mousestatistical model

𝕏 PostBluesky