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Andrew Judge

Honorary Departmental Professor

  • Professor of Translational Statistics

I am 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:

  1. Research that can improve patient care and change the way patients are treated and managed;
  2. Innovative methodology for epidemiological research into musculoskeletal disorders; and
  3. To provide opportunities for training and personal development that benefit both my individual staff members and my wider research group.

After nine years at NDORMS, University of Oxford, I moved to the Musculoskeletal Research Unit, Translational Health Sciences, University of Bristol as Professor of Translational Statistics in 2017. I continue to work closely with NDORMS and the Centre for Statistics in Medicine (CSM), where I was also conferred the title of full Professor of the University of Oxford in 2017.


I am a principal investigator (PI) and co-applicant on research grants with >£12 million grant income (£1.4 million as PI), >100 publications (including 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 research is focused on health service delivery. I explore the variation in how hospitals treat and manage patients and aim to discover which models of care best improve patient outcomes and save NHS money. I develop and lead research projects to evaluate complex interventions, including natural experimental studies and process evaluations. These projects often adopt a mixed methodology approach, using qualitative research methods, health economics, and statistical analysis 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 using data from the National Joint Registry (NJR), Hospital Episode Statistics (HES) database, and Clinical Practice Research Datalink (CPRD). I have expertise in the use of geographical information systems (GIS) for health research.


I have supervised both DPhil (5 completed, 8 current) and MSc (6 completed) students. I also have experience managing a team of people that includes statisticians, a qualitative researcher, an administrative assistant, a health economist, and a study coordinator.

All of my staff are provided mentorship and support for their training and development. They have opportunities such as writing first-author papers, attending conferences, submitting and delivering conference abstracts and presentations, teaching, and attending training courses to develop new skills and refresh existing knowledge.


I am a sub-panel member of the NIHR Programme Grants for Applied Research (PGfAR) funding stream and the Arthritis Research UK Health sub-committee.


  • The Garrod Prize. Monitoring Fairness in Access to Hip and Knee Replacement Surgery in England. British Society for Rheumatology. 21-23 April 2010. 
  • Young Investigators Award. The effects of surgical volumes and training centre status on outcomes following total joint replacement in England. British Society for Rheumatology. 2-5 May 2006. 


I studied mathematics and medical statistics at the University of Southampton, followed by a PhD in statistics and epidemiology with the Department of Social Medicine at the University of Bristol. I moved to the University of Oxford to join NDORMS in 2009 and returned to the University of Bristol in 2017 as Professor of Translational Statistics.

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