Professor Richard Grieve


of Health Economics Methodology

Room 144

15-17 Tavistock Place
United Kingdom

020 7927 2255

I lead a research team whose current research focuses on developing quantitative methods for the evaluation of health care programmes. Our expertise is in the design and analysis of observational studies as well as RCTs, and in methods for cost-effectiveness analyses. We are developing methods that address common methodological issues such as confounding due to treatment selection; non-compliance, missing data,  and external validity.

We undertake applied health economic evaluations predominately in the areas of adult and paediatric intensive care, emergency medicine, emergency and elective surgery, and to the evaluation of new health policies.

My current research interests are focused around methods for using large-scale observational data to provide estimates of effectiveness and cost-effectiveness that can relate directly to individual patients. This research programme includes NIHR funded studies evaluating emergency surgery (ESORT) and treatment intensification for patients with type 2 Diabetes Mellitus (PERMIT). We have been awarded funding by the MRC methodology research programme to investigate quantitative approaches for analysing electonic health records, to provide the evidence required to inform personalisation.

I am the co-director of the LSHTM centre for statistical methodology and was on the REF 2021 subpanel for Public Health, Health Services and primary care.


Department of Health Services Research and Policy


Centre for Statistical Methodology
Global Health Economics Centre


I teach on the introductory module, introduction to health economics, and the economic evaluation module


My main research interests are in developing analytical methods for cost-effectiveness analyses, in particular those that use non-randomised study designs. My work aims to develop more appropriate analytical methods for dealing with confounding due to treatment selection and missing data.

My current research agenda is to address statistical issues raised by moves to use electronic health records to provide the evidence required to inform personalised medicine.

I have received methodological grants from the ESRC on methods for reducing selection bias in health economic evaluation, and from the MRC for developing analytical methods for economic evaluations that use data from cluster randomised trials.

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 emergency and elective surgical procedures. 

I am interested in supervising PhD students in the general area of statistical methods and health economic evaluation.

Research Area
Clinical trials
Economic evaluation
Health policy
Health services research
Health technology assessment
Statistical methods
Critical care
Electronic health records
Disease and Health Conditions
Cardiovascular disease

Selected Publications

Clinical effectiveness and cost-effectiveness of emergency surgery for adult emergency hospital admissions with common acute gastrointestinal conditions: the ESORT study
Grieve R; Hutchings A; Moler Zapata S; O'Neill S; Lugo-Palacios DG; Silverwood R; Cromwell D; Kircheis T; Silver E; Snowdon C
Health and Social Care Delivery Research
Adapting Patient and Public Involvement processes in response to the Covid-19 pandemic.
Snowdon C; Silver E; Charlton P; Devlin B; Greenwood E; Hutchings A; Moug S; Vohra R; Grieve R
Health expectations
Effect of Angiotensin-Converting Enzyme Inhibitor and Angiotensin Receptor Blocker Initiation on Organ Support-Free Days in Patients Hospitalized With COVID-19: A Randomized Clinical Trial.
Writing Committee for the REMAP-CAP Investigators; Lawler PR; Derde LPG; van de Veerdonk FL; McVerry BJ; Huang DT; Berry LR; Lorenzi E; van Kimmenade R; Gommans F
Impact of the first wave of COVID-19 on outcomes following emergency admissions for common acute surgical conditions: analysis of a national database in England.
Hutchings A; Moonesinghe R; Moler Zapata S; Cromwell D; Bellingan G; Vohra R; Moug S; Smart N; Hinchliffe R; Grieve R
British Journal of Surgery
Application of quantitative bias analysis for unmeasured confounding in cost-effectiveness modelling.
Leahy TP; Duffield S; Kent S; Sammon C; Tzelis D; Ray J; Groenwold RH; Gomes M; Ramagopalan S; Grieve R
Journal of Comparative Effectiveness Research
Unmeasured confounding in nonrandomized studies: quantitative bias analysis in health technology assessment.
Leahy TP; Kent S; Sammon C; Groenwold RH; Grieve R; Ramagopalan S; Gomes M
Journal of Comparative Effectiveness Research
A Comparison of Ordered Categorical versus Discrete Choices within a Stated Preference Survey of Whole-Blood Donors.
Sadique Z; Cairns J; De Corte K; Willis S; Miners A; Bansback N; Grieve R
Medical Decision Making
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