Cost Effectiveness Modelling for Health Technology Assessment
20th-24th April, 2026
This five-day course will provide an introduction to decision analytic cost-effectiveness modelling, giving the theoretical and practical knowledge required to design and implement analyses that meet the methodological standards of Health Technology Assessment (HTA) organisations. The programme guides you through building a decision tree and Markov model and, importantly, shows how the results of cost-effectiveness analyses are interpreted.
Learning Objectives:
- Understand the concepts and rationale of HTA and types of economic evaluation
- Understand when you would use a decision tree model and how they work
- Understand when you would use a Markov model, how they work and how to use them to inform decision making
- Appreciate the importance of uncertainty in economic evaluations and how this can be assessed
- Be able to generate a probabilistic Markov model in Excel and produce and interpret outputs
- Understand the concept of value of information and calculate this from probabilistic model results
- Learn about key developments and debates in HTA including precision medicine, real-world evidence and the willingness to pay threshold
Who should attend?
This course is aimed at students, researchers, health care professionals and commissioners and those working in industry or a policy context who have an interest in economic evaluation in health. No previous experience or knowledge in this area is assumed but the course does require quantitative skills and some experience using MS Excel.
The course programme can be found here.
More information can be found here, as well instructions on how to book. If you are intending on coming along, please ensure to apply prior to the deadline of 13th April 2026.
The emphasis on interpreting cost-effectiveness results, not just building the models, addresses a gap many newcomers face.
That mention of building both a decision tree and Markov model in five days is exactly what someone new to health economics needs to feel confident walking into HTA work. Having tried to teach myself similar material, a structured programme like this makes all the difference—especially when interpreting the results rather than just crunching numbers.