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Professor Keith Abrams

I am Professor of Statistics & Data Science in the Department of Statistics at the University of Warwick, and am a NIHR Senior Investigator Emeritus as well as being Honorary Professor in the Centre for Health Economics at the University of York. Prior to this I was Professor of Medical Statistics in the Biostatistics Research Group within the Department of Health Sciences at the University of Leicester.


My research interests centre around the development, evaluation, application and translation of (Bayesian) statistical methods in Health Technology Assessment (HTA) and Population Health Data Science & Policy, more specifically;

  • Design & analysis of clinical trials – particularly methods for dealing with treatment switching & extrapolation
  • Evidence synthesis – particularly methods for dealing with; heterogeneity (statistical, clinical & methodological), Indirect Comparisons (IC)/Network Meta-Analysis (NMA) & inclusion of observational/Real World Evidence (RWE)
  • Methods for estimating comparative effectiveness using observational/non-randomised data in HTA
  • Disease natural history modelling particularly in rare and/or complex diseases (e.g. multi-morbidity)
  • Methods for the development of dynamic risk prediction models using linked exposure/biomarker and clinical outcome data obtained from Electronic Health Records (EHRs)

Current funded projects include;

  • NIHR HTA Programme - United Kingdom Transcatheter Aortic Valve Implantation (UK TAVI) Trial
  • MRC/NIHR Methods Research Programme - Inferring relative treatment effects from combined randomised and observational data
  • HDR UK - Measuring & Understanding Multimorbidity using Routine Data in the UK (MUrMuR-UK)
  • MRC-NIHR - UK-REACH: United Kingdom Research Study into Ethnicity And COVID-19 outcomes in Healthcare workers
  • MRC/NIHR Methods Research Programme - Novel approaches of multi-parameter evidence synthesis and decision modelling for efficient evaluation of diagnostic health technologies in HTA decision making with use of electronic health records
  • NIHR RfPB Programme - wEight chanGes, caRdio-mEtabolic risks and morTality in patients with hyperthyroidism (EGRET): a CPRD–HES linked cohort study

Email: Keith{dot}Abrams{at}

Tel: +44(0)2476 574 808 (internal 74808)

Department of Statistics

University of Warwick


Office: 2.21 MSB

Office Hours: 2022-2023, Term 2

Please email to arrange a slot

Tuesday 10:30-11:30 - In-Person or Teams

Thursday 14:30-15:30 - In-Person or Teams

Twitter: @KRAbrams

Publications @ PubMed

Google Scholar Page

ORCID-ID 0000-0002-7557-1567

Warwick Statistics 50th Anniversary 2022