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NIHR funded Med Stats and Health Economics MSc courses



Health Economics Masters




Areas able to support

Victoria Serra-Sastre

City, University of London

Health economics with a focus on the use of applied microeconometric methods

Aki Tsuchiya

University of Sheffield

The University of Sheffield hosts the MSc in Economics and Health Economics. We conduct research in wide areas of health economics including: the valuation of health, the analysis of health policy, welfare and equity, technology appraisal, evidence synthesis, econometrics and information sciences.MSc Economics and Health Economics: ex Heath Economics and Decision Science section, School of Health and Related Research, University of Sheffield

Luigi Siciliani

Andrew Jones

University of York

Luigi Siciliani is a of Health Economics at the Department of Economics and Related Studies at the University of York, where he directs the MSc in Health Economics. He has specialised in health economics and micro-econometrics with a focus on healthcare providers. His research interests include waiting times for non-emergency treatment, hospital quality competition, contracting theory applied to health care, pay for performance and coordination between health and social care.Andrew Jones is of Economics at the University of York, UK. He does research in microeconometrics and health economics with particular interests in the determinants of health, the economics of addiction and socioeconomic inequalities in health and health care.

Tracy Roberts

University of Birmigham

We run two MSc programmes one MSc Health Economics and Health Policy and MSc Health Economics and Econometrics. We are interested in supervising anything related to health economics and have specific expertise in methods modelling, econometrics and methods for valuing outcomes and dis-utilities associated with screening but have a broad team with specific expertise in a range of clinical areas and methods and who are happy to support a full range of Health economics related research.


Medical Statistics Masters




Areas able to support

Stephanie Hubbard

University of Leicester

The Biostatistics research group at Leicester run the MSc in Medical Statistics. Methods/areas we would be able to support include: Survival Analysis; Health Technology Assessment; Health Economic Decision Modelling; Clinical Trials Methodology; Machine Learning; Analysis of linked Electronic Health Record (HER) data (“Big Data”), Causal Inference/Estimating Treatment Effects from Observational/Non-Randomised Data; Bayesian Methods in HTA & Clinical Trials; and Visualisation of statistical concepts, data and analyses results ( We have collaborations across many clinical and related disciplines with particularly strong collaboration in cancer, cardiovascular disease, public health and diabetes. The Genetic Epidemiology research group also contribute to the teaching and could provide support in the statistical methodology and computation development motivated by complex problems in genetics.

Deborah Costain

University of Lancaster

Analysis of longitudinal and survival data, spatial data analysis and methods for case control studies

Kathy Baisley

London School of Hygiene and Tropical Medicine

Current areas of methodological research that the LSHTM Medical Statistics department would be able to support include: missing data, especially in longitudinal studies; propensity scores and other methods of adjustment for confounders; methods for causal inference (e.g. mediation analyses, methods for time-varying confounding adjustment); time-updated models relating disease events/biomarkers to prognosis; development of user-friendly prognostic risk scores; allowance for measurement error; small sample inference for mixed models. Methodological research in clinical trials includes: adaptive designs; non-inferiority trials and surrogate endpoints; cross-over trials; multiplicity of data (e.g. subgroup analyses, composite endpoints, repeated measures) in trials; statistical methods for the evaluation of complex interventions.