Author

Katie G. Young

University of Exeter

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Angus G. JonesiD· 1 shared Harry GreeniD· 1 shared John DennisiD· 1 shared Michael N. WeedoniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Angus G. JonesORCID

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1 paper

Recent·Most cited

Using joint models to adjust for informative drop-out when modelling a longitudinal biomarker: an application to type 2 diabetes disease progression

Harry Green, Katie G. Young, Angus G. Jones, Michael N. Weedon, John Dennis

The paper applies joint longitudinal-survival models to adjust for censoring bias in HbA1c trajectory analysis in type 2 diabetes patients, finding a higher gradient with the joint model compared to linear mixed effects models.

bioRxiv · Jun 17, 2021 · PreprintBioinformatics