Professor Martin Landray
Research groups
- Accurately estimating the burden of vascular disease using electronic health records
- Analysing big data from electronic health records to understand the determinants of cardiovascular disease
- Big Data Institute (BDI)
- Deep phenotyping of vascular events in large-scale epidemiological studies using electronic health records
Websites
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Randomized EValuation of Effects of Anacetrapib on Lipid-modification (HPS3 / TIMI55 - REVEAL)
Chief Investigator
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Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2-THRIVE)
Co-principal Investigator
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Campath, Calcineurin inhibitor reduction and Chronic allograft nephropathy trial (3C)
Co-principal Investigator
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Study of Heart and Renal Protection (SHARP)
Co-principal Investigator
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UK Biobank
Lead, Health Informatics Hub; Member of Outcomes Adjudication Working Group
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FDA Clinical Trial Transformation Initiative
Member of Steering Committee; Co-lead of Monitoring, Quality by Design, and Mobile Clinical Trials Projects
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MRC Hubs for Trials Methodology Research
Co-principal Investigator, Oxford CTSU Hub
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Oxford Academic Health Science Centre
Chair, Big Data and Clinical Informatics Committee
Martin Landray
MB ChB, PhD, FRCP, FHEA, FASN, FBPhS, FESC
Professor of Medicine and Epidemiology
- Research Director, Health Data Research UK
- Deputy Director, Big Data Institute
- Lead, Big Data & Computing Innovation, MRC Population Health Research Unit
- Lead, Clinical Informatics & Big Data, NIHR Oxford Biomedical Research Centre
- Lead, Health Informatics Hub, UK Biobank
- Honorary Consultant Physician, Oxford University Hospitals NHS Foundation Trust
Prof Landray’s work seeks to further understanding of the determinants of common diseases through the design, conduct and analysis of efficient, large-scale clinical trials and prospective cohort studies (including UK Biobank). He has led a series of major clinical trials assessing treatments for cardiovascular and kidney disease. These have enrolled over 65,000 individuals, producing results that have changed regulatory drug approvals, influenced clinical guidelines and changed prescribing practice to the benefit of patients.
He is heavily involved in efforts to streamline clinical trials, working with regulatory agencies to facilitate efficient and cost-effective trials. He is a member of the Steering Committee of the FDA Clinical Trial Transformation Initiative, leading the Monitoring, Quality by Design, and Mobile Clinical Trials projects. He is a member of the NHS Digital Research Advisory Group and the NICE Data & Analytics External Reference Group, and leads the 21st Century Clinical Trials programme for Health Data Research UK.
Prof Landray completed medical training at University of Birmingham (UK) and specialist training in Clinical Pharmacology & Therapeutics, and General Internal Medicine at University of Birmingham. He continues to practise clinical medicine as an Honorary Consultant Physician in the Cardiology, Cardiac and Thoracic Surgery Directorate at Oxford University Hospitals NHS Trust. He is a Fellow of the Royal College of Physicians of London, the Higher Education Academy, the British Pharmacological Society, and the European Society of Cardiology.
Recent publications
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Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study.
Journal article
Hershman SG. et al, (2019), Sci Data, 6
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Cost-effectiveness of lipid lowering with statins and ezetimibe in chronic kidney disease.
Journal article
Schlackow I. et al, (2019), Kidney Int
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Assessement of Vascular Event Prevention and Cognitive Function Among Older Adults With Preexisting Vascular Disease or Diabetes: A Secondary Analysis of 3 Randomized Clinical Trials.
Journal article
Offer A. et al, (2019), JAMA Netw Open, 2
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Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials.
Journal article
Cholesterol Treatment Trialists' Collaboration None., (2019), Lancet, 393, 407 - 415
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Erratum: Evans M, Grams ME, Sang Y, et al., for the Chronic Kidney Disease Prognosis Consortium. Risk factors for prognosis in patients with severely decreased GFR.(Kidney International Reports (2018) 3(3) (625–637)(S246802491830007X)(10.1016/j.ekir.2018.01.002))
Journal article
Astor B. et al, (2018), Kidney International Reports, 3
IN the News
BBC: The challenge of saving lives with 'big data'
The Guardian: Can smartphone drug trials improve medical care?
The Economist: Testing, Testing
Oxford Mail: City is at the forefront of disease prevention
European Heart Journal: Clinical trials: how to get closer to the right answer with less effort
Lectures, webcasts and interviews
Big Trials, Big Data, Big Potential: population health research in the 21st century
Inaugural Lecture, University of Oxford, November 2015
New Technologies for Healthcare Research
Oxford Martin School, University of Oxford, January 2016
Big Data for Efficient Clinical Trials
National Academy of Medicine, Washington DC, October 2015
Big Data in Biomedicine
Interview, Stanford Medicine, May 2015
Quality by Design for Clinical Trials
Clinical Trial Transformation Initiative, Bethesda, April 2015
Big Data in Biomedicine
Interview, Stanford Medicine, May 2014
Big Data and Drug Discovery
University of Oxford Alumni, October 2013