Professor Richard Grieve BA MSc PhD

Professor of Health Economics Methodology

Richard Grieve's Background

I have a first degree in Economics (University of Liverpool), an MSc in Health Economics (University of York), and my PhD thesis was on methods for investigating and dealing with international cost variation (LSHTM). I worked for four years in the Department of Public Health Sciences, Kings College, London before coming to LSHTM in 1999. My post doctoral research was funded by fellowships from MRC and then NIHR, and extended analytical methods for cost-effectiveness analyses.

I lead a research team whose current research focuses on statistical methods for addressing non-compliance, missing data, confounding due to treatment selection and external validity. We also undertake applied health economic evaluations predominately in the areas of adult and paediatric intensive care, emergency medicine, and elective surgery. My research programme is funded by a five year senior research fellowship from NIHR.

Richard Grieve's Affiliation

Richard Grieve's Teaching

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

Richard Grieve's Research

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. The study considered alternative approaches for addressing imbalances in observed covariates. 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.

Research areas

  • Economic evaluation
  • Health technology assessment
  • Methodology
  • Modelling
  • Statistical methods


  • Economics
  • Statistics

Disease and Health Conditions

  • Cardiovascular disease
  • Hepatitis

Other interests

  • Causal Inference
  • Clustered Data
  • Missing Data
  • Multi Centre Studies
  • Statistical methodology
  • economics of health care
Back to top