Contact information
Research groups
Nicola Barclay
PhD
Research Assistant in Health Data Sciences
I currently work within the Pharmacoepidemiology team focussing on the trajectory of cancer screening, diagnosis, treatment and prognosis, over the time-course of the COVID 19 pandemic. I work with Real World Evidence (RWE) generated from electronic health record data.
I primarily have a background in academia with wider expertise in sleep medicine, healthcare and genetics. Prior to this appointment I was a Departmental Lecturer in Sleep Medicine, within the Nuffield Department of Clinical Neurosciences, University of Oxford (2016-2021), though have transitioned into a role in data science applied to healthcare. My doctoral research (Goldsmiths, University of London, 2011) used statistical genetic techniques, structural equation modelling and multi-level modelling to understand heritability of sleep and circadian phenotypes. I also have a Professional Certificate in Data Science and experience working with predictive modelling using Real World Data.
Recent publications
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The impact of the COVID-19 pandemic on short-term cancer survival in the United Kingdom: a cohort analysis
Preprint
Barclay NL. et al, (2023)
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The Impact of the UK COVID-19 Lockdown on the Screening, Diagnostics and Incidence of Breast, Colorectal, Lung and Prostate Cancer in the UK: a Population-Based Cohort Study
Preprint
Barclay NL. et al, (2023)
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Pre-Sleep Cognitive Arousal Is Unrelated to Sleep Misperception in Healthy Sleepers When Unexpected Sounds Are Played during Non-Rapid Eye Movement Sleep: A Polysomnography Study.
Journal article
Sharman RL. et al, (2022), Brain sci, 12
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Heritability of sleep duration and quality: A systematic review and meta-analysis.
Journal article
Kocevska D. et al, (2021), Sleep med rev, 59
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The natural history of insomnia: predisposing, precipitating, coping, and perpetuating factors over the early developmental course of insomnia.
Journal article
Ellis JG. et al, (2021), Sleep, 44