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 sit on the NIHR commissioning board.


Department of Health Services Research and Policy


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, 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
Economic evaluation
Health policy
Health technology assessment
Statistical methods
Disease and Health Conditions
Cardiovascular disease

Selected Publications

Protocol for an observational cohort study investigating personalised medicine for intensification of treatment in people with type 2 diabetes mellitus: the PERMIT study.
Bidulka P; O'Neill S; Basu A; Wilkinson S; Silverwood RJ; Charlton P; Briggs A; Adler AI; Khunti K; Tomlinson LA
BMJ Open
Stated versus revealed preferences: An approach to reduce bias.
de Corte K; Cairns J; Grieve R
Health economics
Variation in the rates of emergency surgery amongst emergency admissions to hospital for common acute conditions.
Hutchings A; Moler Zapata S; O'Neill S; Smart N; Cromwell D; Hinchliffe R; Grieve R
BJS open
Antibiotics as first-line alternative to appendicectomy in adult appendicitis: 90-day follow-up from a prospective, multicentre cohort study.
Javanmard-Emamghissi H; Hollyman M; Boyd-Carson H; Doleman B; Adiamah A; Lund JN; Moler-Zapata S; Grieve R; Moug SJ; Tierney GM
The British journal of surgery
Children's Oxygen Administration Strategies And Nutrition Trial (COAST-Nutrition): a protocol for a phase II randomised controlled trial.
Kiguli S; Olopot-Olupot P; Alaroker F; Engoru C; Opoka RO; Tagoola A; Hamaluba M; Mnjalla H; Mpoya A; Mogaka C
Wellcome open research
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