Professor Richard Grieve
BA MSc PhD
of Health Economics Methodology
15-17 Tavistock Place
I lead a research team whose current research focuses on developing quantitative methods for health economic evaluation. Our expertise is in the design and analysis of health economic evalautions that use observational data as well as RCTs. We are developing methods that address common methodological issues such as confounding due to treatment selection; non-compliance, missing data, and external validity.
We also undertake applied health economic evaluations predominately in the areas of adult and paediatric intensive care, emergency medicine, elective surgery, and to the evaluation of new health policies. We have recently started an evaluation of the integrated care pioneers, and have undertaken research evaluating the preferences of blood donors for alternative changes to the blood collection service.
My research programme is funded by a five year senior research fellowship from NIHR.
I am the co-director of the LSHTM centre for statistical methodology
I teach on the introductory module, introduction to health economics, and organise the economic evaluation module
My main research interests are in developing analytical methods for cost-effectiveness analyses. My current work aims to develop more appropriate analytical methods for dealing with selection bias, missing data and clustered data.
I was the PI for a 3 year ESRC project on methods for reducing selection bias in health economic evaluation. In particular, the study examined Genetic Matching, an automated matching approach that extends traditional propensity score matching. The study involved close collaboration with colleagues at the University of California at Berkeley.
I was also the PI on a 3.5 year MRC funded project to investigate analytical methods for economic evaluations that use data from cluster randomised trials. This work compared multilevel models to robust variance estimators and bootstrap procedures. The project was in collaboration with colleagues at the University of Cambridge and in the Department of Medical Statistics, LSHTM. Recent extensions to this project involved methods for handling missing data in hierarchical settings
I have ongoing interests in applying the techniques of economic evaluation across a diverse range of clinical areas including adult and paediatric intensive care, hepatitis C, mental health, and for routine surgical procedures.
I am interested in supervising PhD students in the general area of statistical methods and health economic evaluation.