Prof. Keith R. Abrams PhD, CStat

Keith brings to Visible Analytics over 30 years of experience as a consultant to pharmaceutical and healthcare consultancy sectors, for methodological and strategic HTA advice along with his long-standing academic career.

Keith is Professor of Statistics & Data Science in the Department of Statistics and Adjunct Professor of Biostatistics in Warwick Medical School at the University of Warwick as well as being Honorary Professor in the Centre for Health Economics at the University of York. His research interests, for which he has an international reputation, are primarily concerned with the development, evaluation and application of (often Bayesian) statistical methods in HTA, in particular regarding; clinical trials, evidence synthesis, Real World Evidence (RWE) and the development of natural history models (especially for rare and/or complex conditions), and in Health Data Science, in particular the analysis of data obtained from large-scale linked electronic health records.

Keith has been extensively involved with the UK National Institute for Health Research (NIHR) HTA Programme and UK National Institute for Health and Care Excellence (NICE) appraisal process since their inception. He was a member of the NICE Technology Appraisals Committee for over 8 years and is currently a member of the NICE Diagnostics Advisory Committee, as well as being a member of the NICE Decision Support Unit and NICE Technical Support Unit. He acts as a consultant to the NICE Scientific Advice Programme, and previously to NICE International, and currently sits on the NIHR Invention for Innovation (i4i) Product Development Awards Committee and is a NIHR Senior Investigator Emeritus.

Keith is also a Fellow of the Royal Statistical Society, and a Chartered Statistician. He has published widely in both substantive and methodological areas including co-authoring books on Methods for Meta-Analysis in Medical Research, Bayesian Approaches to Clinical Trials and Healthcare Evaluation, and Evidence Synthesis for Decision Making in Healthcare, in addition to co-editing one of the first texts on Methods for Evidence-based Healthcare.