DPhil Supervision
My current research interests include monitoring chronic diseases, especially diabetes and hypertension, and clinical prediction rules, especially risk scores. My publications, listed on my webpage at the department of primary care health sciences, give the best overview of my research.
Several of my DPhil students in primary care have graduated over the last two years. I currently supervise DPhil students on the Evidence Based Health Care (EBHC) programme.
Websites
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Module Coordinator: Essential Medical Statistics
Part of the Evidence-Based Health Care MSc Programme
Richard Stevens
BA MSc PhD
Associate Professor, Medical Statistics
- Deputy Director, Statistics Group
- Course Director: MSc EBHC Medical Statistics
- Supernumerary Fellow, Kellogg College
I am the course director of the MSc in Evidence Based Health Care Medical Statistics, a continuing professional development course for those in full-time clinical practice seeking expertise in medical statistics.
As a medical statistician, most of my research, whether I'm leading the project or supporting colleagues, is intended for clinical journals. Much of my research is with colleagues in the Oxford Centre for Monitoring and Diagnosis (MaDOx) on the monitoring of chronic diseases and on diagnosis and prognosis: the list of publications to the right is the best indicator of my research interests.
I am a statistical member (and, from 2016, Deputy Chair) of the Indpendent Scientific Advisory Committee (ISAC) that advises the MHRA on research with databases such as the Clinical Practice Research Datalink (CPRD), and an Associate Editor of the journal BMC Diagnostic and Prognostic Research.
Key publications
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Why do authors derive new cardiovascular clinical prediction rules in the presence of existing rules? A mixed methods study
Journal article
Ban JW. et al, (2017), PLoS ONE, 12
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Governance and oversight of researcher access to electronic health data: The role of the independent scientific advisory committee for MHRA database research, 2006-2015
Journal article
Waller P. et al, (2017), Journal of the Royal College of Physicians of Edinburgh, 47, 24 - 29
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Optimal strategies for monitoring lipid levels in patients at risk or with cardiovascular disease: A systematic review with statistical and cost-effectiveness modelling
Journal article
Perera R. et al, (2015), Health Technology Assessment, 19
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Clinical prediction rules in practice: Review of clinical guidelines and survey of GPs
Journal article
Plüddemann A. et al, (2014), British Journal of General Practice, 64
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Cancer outcomes and all-cause mortality in adults allocated to metformin: Systematic review and collaborative meta-analysis of randomised clinical trials
Journal article
Stevens RJ. et al, (2012), Diabetologia, 55, 2593 - 2603
Recent publications
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Blood pressure self-monitoring in pregnant women from ethnic minorities and deprived areas: A secondary analysis of the BUMP 1 trial
Other
Omorodion BE. et al, (2022), JOURNAL OF HUMAN HYPERTENSION, 36, 3 - 4
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Statistical models for the deterioration of kidney function in a primary care population: A retrospective database analysis
Journal article
Oke JL. et al, (2022), F1000Research, 8, 1618 - 1618
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Propensity scores in surgery: Don't believe the hype
Journal article
Stevens RJ. and Oke JL., (2022), Colorectal Disease, 24, 896 - 898
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PREDICTING THE RISK OF FALLS IN PATIENTS WITH AN INDICATION FOR ANTIHYPERTENSIVE TREATMENT: DEVELOPMENT AND VALIDATION OF THE STRATIFY-FALLS PREDICTION MODEL
Journal article
Archer L. et al, (2022), Journal of hypertension, 40
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PREDICTING THE RISK OF SYNCOPE IN PATIENTS WITH AN INDICATION FOR ANTIHYPERTENSIVE TREATMENT: DEVELOPMENT OF THE STRATIFY-SYNCOPE PREDICTION MODEL
Other
Constantinos K. et al, (2022), Journal of hypertension, 40