Keith R Abrams
Scholar

Keith R Abrams

Google Scholar ID: 8YdOC44AAAAJ
Prof, Univ of Warwick, Hon Prof, Univ of York & NIHR Senior Investigator Emeritus
BiostatisticsBayesian MethodsHTAHealth Data Science
Citations & Impact
All-time
Citations
19,415
 
H-index
59
 
i10-index
204
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Principal investigator on multiple funded projects by NIHR, MRC, and EU Horizon, including:
  • NIHR HTA Programme: UK TAVI Trial
  • NIHR RfPB Programme: EGRET cohort study on weight changes and cardiometabolic risks in hyperthyroidism
  • NIHR i4i & OLS RWE Programme: Long-term impact of Gro Health W8Buddy digital tool in weight management
  • NIHR Challenge: Maternity Inequalities West Midlands Collaboration
  • MRC/NIHR Methods Research Programme: Efficient and unbiased estimation in adaptive platform trials
  • NIHR i4i Programme: Novel bacterial electrophysiology method for rapid antibiotic susceptibility testing
  • EU Horizon: Real-world Evidence for Decisions in Diabetes (REDDIE)
Background
  • Professor of Statistics & Data Science at the University of Warwick
  • Adjunct Professor of Biostatistics at Warwick Medical School (WMS)
  • NIHR Senior Investigator Emeritus
  • Honorary Professor at the Centre for Health Economics, University of York
  • Associate Director of Health Data Research (HDR) UK [Midlands]
  • Research interests center on the development, evaluation, application, and translation of (Bayesian) statistical methods in Health Technology Assessment (HTA) and Health Data Science
  • Specific areas include: design and analysis of clinical trials (especially treatment switching and extrapolation), evidence synthesis (heterogeneity, indirect comparisons/network meta-analysis, integration of real-world evidence), comparative effectiveness estimation from observational data, natural history modeling in rare/complex diseases (e.g., multimorbidity), and dynamic risk prediction models using linked EHR data