Professor Andy Judge

M.Sc.(Soton.), PhD

  • BS10 5NB

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Personal profile

Research interests

Professor Andrew Judge studied mathematics and medical statistics at the University of Southampton. He continued his academic career at the University of Bristol, working as a Statistician / Epidemiologist within the Department of Social Medicine where he obtained his PhD, before moving to the University of Oxford to join the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) in 2009.


In 2017 he was made Professor of Translational Statistics at the Musculoskeletal Research Unit, Translational Health Sciences, University of Bristol. He retains an appointment at NDORMS, and Centre for Statistics in Medicine (CSM), University of Oxford, where he was recently conferred the title of full Professor in the 2017 Recognition of Distinction awards.


Andrew is a translational statistician providing a bridge between innovative epidemiological study designs and advanced statistical methodology, that can be applied to practically usable clinical studies that have impact and lead to improved health outcomes. My purpose is: (i) Applied health research that can improve patient care and change the way patients are treated and managed; (ii) Innovative methodology and epidemiological study designs; (iii) Provide opportunities for training and personal development to the benefit of both the individual and wider research group.


I am a principal investigator and a co-applicant on a number of research grants with >£12 million grant income (£1.4 million as a PI), >100 publications (that include 5 BMJ and 7 Lancet papers) and an h-index of 35. I’ve gained international recognition for my research into joint replacement surgery, predominantly in the areas of: equity in access to healthcare; predictive modelling of patient reported outcomes; and mortality. My current research is focused on health service delivery – exploring variation in the way hospitals treat and manage patients, and in understanding which is the best model of care to improve patient outcomes and save money to the NHS. I develop and lead research projects for the evaluation of complex interventions that include Natural Experimental studies and Process Evaluations. Projects adopt a mixed methodology approach using qualitative research methods, health economics and statistical analysis, in order to capture deep understanding and lessons for the health service on implementation and change. I make use of routinely collected large national datasets that capture actual NHS patient activity, with experience of using data from the National Joint Registry (NJR), Hospital Episode Statistics (HES) database, and Clinical Practice Research Datalink (CPRD).


I supervise a number of DPhil (5 completed, 8 current) and MSc students (6 completed). I have experience as a manager with a team of people that include statisticians, qualitative researcher, administrative assistant, health economist and study coordinator. All staff are provided mentorship and support for their training and development. I am a sub-panel member of NIHR Programme Grants for Applied Research (PGfAR) funding stream and ARUK Health sub-committee.

External positions

Honorary Departmental Professor, University of Oxford

1 Sep 201731 Aug 2020


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