Richard Grieve BA MSc PhD
- Richard Grieve's Contacts
- Room 144
- 15-17 Tavistock Place
- WC1H 9SH
- T: 020 7927 2255
- F: 020 7927 2701
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.
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.
- Economic evaluation
- Health technology assessment
- Statistical methods
Disease and Health Conditions
- Cardiovascular disease
- Clustered Data
- Missing Data
- Multi Centre Studies
- Statistical methodology
- economics of health care
Cemented, cementless, and hybrid prostheses for total hip replacement: cost effectiveness analysis.
Pennington, M. ; Grieve, R. ; Sekhon, J.S. ; Gregg, P. ; Black, N. ; van der Meulen, J.H. ;
BMJ, 2013; 346:f1026
Handling missing values in cost effectiveness analyses that use data from cluster randomized trials
Diaz-Ordaz, K.; Kenward, M.G.; Grieve, R.
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2013; :n/a-n/a
A MATCHING METHOD FOR IMPROVING COVARIATE BALANCE IN COST-EFFECTIVENESS ANALYSES.
Sekhon, J.S.; Grieve, R.D.;
Health Econ, 2012; 21(6):695-714
Developing Appropriate Methods for Cost-Effectiveness Analysis of Cluster Randomized Trials.
Gomes, M.; Ng, E.S.; Grieve, R.; Nixon, R.; Carpenter, J.; Thompson, S.G.;
Med Decis Making, 2012; 32(2):350-61
Referral to an Extracorporeal Membrane Oxygenation Center and Mortality Among Patients With Severe 2009 Influenza A(H1N1).
Noah, M.A.; Peek, G.J.; Finney, S.J.; Griffiths, M.J.; Harrison, D.A.; Grieve, R.; Sadique, M.Z.; Sekhon, J.S.; McAuley, D.F.; Firmin, R.K.; Harvey, C.; Cordingley, J.J.; Price, S.; Vuylsteke, A.; Jenkins, D.P.; Noble, D.W.; Bloomfield, R.; Walsh, T.S.; Perkins, G.D.; Menon, D.; Taylor, B.L.; Rowan, K.M.;
JAMA, 2011; 306(15):1659-68
Bayesian Hierarchical Models for Cost-Effectiveness Analyses that Use Data from Cluster Randomized Trials
Grieve, R.; Nixon, R.; Thompson, S.G.
Medical Decision Making, 2010; 30(2):163-175
Evaluating Health Care Programs by Combining Cost with Quality of Life Measures: A Case Study Comparing Capitation and Fee for Service.
Grieve, R.; Sekhon, J.S.; Hu, T.W.; Bloom, J.R.;
Health Serv Res, 2008; 43(4):1204-22
Multilevel models for estimating incremental net benefits in multinational studies.
Grieve, R.; Nixon, R.; Thompson, S.G.; Cairns, J.;
Health Econ, 2006; 16(8):815-26
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