Richard Riley is a Senior Lecturer in Medical Statistics at the University of Birmingham, with a joint post in the School of Mathematics and the Department of Public Health, Epidemiology and Biostatistics (School of Health and Population Sciences).
He enthusiastically teaches a year-long Medical Statistics module to 3rd and 4th Year undergraduate maths students, and currently supervises three PhD students. He has received numerous healthcare related grants, from funders including the MRC and NIHR, and has published over 30 applied and methodological research articles. Particular research interests include meta-analysis, diagnostic test research, and prognosis research
Richard is a Statistics Editor for the British Medical Journal, an Associate Editor of Statistics in Medicine, and a co-convenor of the Cochrane Prognosis Methods Group.
Richard Riley qualified with a BSc in Mathematics from the University of Nottingham (1998), and went on to complete an MSc with distinction (1999) and a PhD (2005) in Medical Statistics from the University of Leicester (2005). He worked as a Research Associate (1999 to 2001) in the Centre for Biostatistics at the University of Leicester, and as a Lecturer in the Centre for Medical Statistics and Health Evaluation at the University of Liverpool (2006-2008), where he also completed a Research Fellowship in Evidence Synthesis awarded by the Department of Health. He is now a Senior Lecturer in Medical Statistics at the University of Birmingham, with a joint post in the Department of Public Health, Epidemiology and Biostatistics and the School of Mathematics.
Richard specialises in the application and development of statistical methods for evidence synthesis and meta-analysis. His main methodological research interests include:
Statistical models for multivariate meta-analysis of multiple outcomes
Statistical methods for undertaking an individual participant data (IPD) meta-analysis
Approaches to combining IPD with aggregate data in meta-analysis
Investigating and dealing with publication and availability bias in IPD meta-analysis
Particular clinical applications of interest (both in primary studies and systematic reviews) include:
Identifying and evaluating diagnostic tests
Identifying and evaluating prognostic factors and biomarkers
Developing, validating and assessing the impact of prognostic models and risk prediction models
Facilitating stratified medicine, in particular by identifying patient-level factors that interact with treatment effect (‘predictive markers’, ‘treatment-covariate interactions’)
A particular research passion is to improve the quality, design, conduct, analysis and reporting of prognosis research studies.
Richard has been a Statistics Editor of the British Medical Journal since 2009, an Associate Editor of Statistics in Medicine since 2011, and a co-convenor of the Cochrane Prognosis Methods Group since 2007. He enjoys teaching medical statistics to mathematics students, and often leads training courses on basic and advanced statistical issues, to either statistical or non-statistical professions. He also speaks regularly at national and international conferences.