Advance your skills in Statistical Methods in Economic Evaluation for Health Technology Assessment
Posted on Tuesday 17 March 2026
CHE is pleased to announce that registration is open for the in-person Statistical Methods in Economic Evaluation for Health Technology Assessment - Advanced short course in York.
Running from Tuesday 8 to Thursday 10 September 2026, this three-day course is designed for professionals who currently undertake, review, or commission analyses of health economics and outcomes research data. It is highly relevant for those working within the pharmaceutical and medical device industries, consultancy, academia, and the health service.
Led by Professor Andrea Manca, alongside leading CHE academics, the course explores advanced techniques for analysing data collected alongside both experimental (Randomised Controlled Trials) and observational (real-world) studies.
What you will learn
Participants will use a simulated, realistic patient-level dataset to build key concepts step-by-step. By the end of the course, attendees will be able to:
- Apply robust statistical methods to analyse survival, health-related quality of life, and cost data.
- Derive key input parameters (such as probabilities and health state utility values) to populate cost-effectiveness models.
- Utilise advanced methods to analyse data from non-randomised studies.
- Assess study results and present outputs confidently to policymakers.
The curriculum includes a mixture of taught modules and practical exercises conducted using Stata software. Each participant will be given access to the latest version of the software, with exercises fully supported by the faculty and a dedicated group of tutors.
Registration Fees
- Public/Academic sector: £1400
- Private/Commercial sector: £1900
Fees are fully inclusive of tuition, lunch, course materials, and a course dinner. Accommodation is not included.
Secure your place today for the 2026 Advanced Statistical Methods course.