Senior Lecturer in Medical Statistics
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.