School of Health and Related Research
Research Associate/Medical Statistician
+44 114 222 0839
Full contact details
School of Health and Related Research
Regent Court (ScHARR)
30 Regent Street
I first joined ScHARR in 2016 after developing an interest health research methodology. Prior to that I completed my PhD in Computational Neuroscience in the Department of Psychology here at TUoS. This was funded by the EPSRC. My thesis was entitled 'Biologically plausible models of sequential action selection', and focused on understanding the brain systems and mechanisms involved in human routine action.
In my adopted field of medical statistics and health research, I try to draw on my background in computational neuroscience and its methods to support my research. I am interested in how traditional statistics and more computationally intensive methodologies (such as neural networks and other machine learning approaches) can complement one another, especially in research involving routine health data. I have a particular interest in this approach for supporting research in situations where standard clinical trials may not be possible or feasible.
- BSc Psychology (Hons), MSc Cognitive & Computational Neuroscience
- PhD Computational Neuroscience
- Research interests
- Routine data
- Cluster trial design
- Pilot trial design and conduct
- Urgent & Emergency care services
- Asthma epidemiology
- Machine learning
- Creating a Real-World Linked Research Platform for Analyzing the Urgent and Emergency Care System.. Med Decis Making, 272989X221098699.
- Prospectively predicting Pseudomonas aeruginosa infection/s using routine data from the UK cystic fibrosis register. Health Science Reports, 4(4). View this article in WRRO
- Sample sizes for cluster-randomised trials with continuous outcomes: Accounting for uncertainty in a single intra-cluster correlation estimate. Statistical Methods in Medical Research, 30(11), 2459-2470. View this article in WRRO
- Real-world adherence among adults with cystic fibrosis is low – a retrospective analysis of the CFHealthHub digital learning health system. Chest. View this article in WRRO
- Patient compliance with NHS 111 advice: Analysis of adult call and ED attendance data 2013–2017. PLoS ONE, 16(5). View this article in WRRO
- Does nosocomial SARS-CoV-2 infection result in increased 30-day mortality? A multi-centre observational study to identify risk factors for worse outcomes in COVID-19 disease. Journal of Hospital Infection.
- Angiotensin converting enzyme inhibitors do not increase the risk of poor outcomes in COVID-19 disease. A multi-centre observational study. Scottish Medical Journal.
- Telephone follow-up to identify incident lung cancer symptoms in COPD patients. British Journal of Cancer Research, 2(4), 308-313. View this article in WRRO
- A Mobile App Delivering a Gamified Battery of Cognitive Tests Designed for Repeated Play (OU Brainwave): App Design and Cohort Study. JMIR Serious Games, 6(4). View this article in WRRO
- Frequent attendance at the emergency department shows typical features of complex systems: analysis of multicentre linked data. Emergency Medicine Journal.
- The Role of the Basal Ganglia in Discovering Novel Actions, Intrinsically Motivated Learning in Natural and Artificial Systems (pp. 129-150). Springer Berlin Heidelberg
Conference proceedings papers
- Sample size of four clusters-per-arm as a rule of thumb for pilot cluster-randomised controlled trials. Trials, Vol. 20(Suppl_1). Brighton, UK, 6 October 2019 - 9 October 2019. View this article in WRRO
- A computational model of interconnected basal ganglia-thalamocortical loops for goal directed action sequences. BMC Neuroscience, Vol. 12(S1)
- Research group
Medical Statistics Group
- Sam Watchorn
- Teaching interests
Tutor for MBChB:
- Critical Numbers
- Critical Appraisal & Study Design
- Professional activities
I am the Early Careers Representative for the Design, Trials and Statistics section of ScHARR.
I sit on two NIHR Methodology Incubator working groups, and am a member of the NIHR Statistics Group career development committee.