Dr GC is interested in supervising MRes and PhD candidates wanting to work on the following topics:

• Cost-effectiveness of (public) health interventions
• Early Health Technology Assessment
• Decision analysis

If you are interested in studying for a PhD in this research subject area, click here

9 from 484 citations

Last updated 24th March 2023

Vijay GC joined the School of Human and Health Sciences as Senior Lecturer in Health Economics in September 2022. Before that, he was a Research Fellow in Health Economics at the Centre for Health Economics, University of York. Vijay also worked as a health economics researcher at the Norwich Medical School, University of East Anglia.

Vijay obtained a Bachelor's degree in healthcare management from Pokhara University Nepal and trained in public health and advanced public methods (biostatistics and health economics) at three European Institutions – the University of Sheffield – UK, University of Copenhagen – Denmark, and EHESP French School of Public Health – France. He holds a PhD in Health Economics from the University of East Anglia. Prior to academia, he worked with JSI Research & Training Institute, Inc. in Nepal and the World Health Organisation Regional Office for Europe in Copenhagen.

Vijay has expertise in economic evaluation and decision anlytic modelling. He has applied these to evaluate complex (public) health interventions, diagnostic tests, medical technologies and wearable digital health technology for precision, personalised and person-centred healthcare. These cover various disease areas, including chronic kidney disease, physical inactivity, diabetes, sudden cardiac death, acute coronary syndrome, bronchiolitis, multiple myeloma, myelodysplastic syndrome, chronic nonmalignant pain, and rotator cuff tear.

Vijay is a member of the UK Health Economists' Study Group (HESG) and the Professional Society for Health Economics and Outcome Research (ISPOR). He also serves as Academic Editor for PLoS One.

Vijay's research interests expand across the health economics field but centre on applying statistical and decision analytic methods in economic evaluation. This includes:

• Statistical analysis of primary and observational (e.g. registry) data,
• Evidence synthesis,
• Eliciting preferences in healthcare delivery (e.g. tuberculosis care), patients' preferences towards wearable digital health technologies designed to support self-management of their condition,
• Early health technology assessment,
• Decision modelling methods and
• Value of further research analysis to quantify the expected return on investment in further research. 

He also has interests in applying modern causal inference and machine learning methods to estimate the individualised treatment effect and enhancing the generalisability of evidence from clinical trials by leveraging observational (real-world) data.