Categories: Health Technology Assessment, Review and Evidence Synthesis, Statistics
Introduction to R for Health Technology Assessment
Description
This training course has now passed. The next dates for 2026 will be confirmed in January.
Health technology assessment (HTA) relies on robust statistical analysis and economic modelling. While tools like Excel have their place, the growing complexity of HTA demands a more powerful solution. This one-day course introduces you to R, a free and highly versatile program for statistical analysis. Because R is designed to display and process complex data, it is seen as an alternative to less efficient and less powerful software such as Microsoft Excel. For these reasons, the popularity of R has increased in the last decade and is starting to be used within HTA submissions.
Designed for beginners, this course requires no prior knowledge of R. By the end of the day, you will be able to confidently navigate the program and perform key data tasks.
You will learn how to:
- Import and export data from a variety of sources.
- Explore and manipulate data to prepare it for analysis.
- Produce summary statistics and create compelling graphics using reproducible R scripts.
- Use R in evidence synthesis and cost-effectiveness analysis, with practical examples from several disease areas.
You will leave the course with the foundational skills to use R for more efficient, powerful, and reproducible data analysis in your HTA work.
A provisional agenda for this course is available
Early-bird pricing of £83.33 (excluding VAT) is available until 4 weeks before the course. The full price of £125 (excluding VAT) will be applicable within 4 weeks of booking this course.
Course trainers
Dr Joe Moss
Principal Statistician
Erin Barker
Senior Statistician
Neil Hansell
Statistician
Location
This training course will take place online. Further details will be emailed to you before the training event.
Course questions
Investing in your professional development is an important decision. To ensure you have all the information you need, we’ve answered some of the most frequent questions about our course below. If you require further details prior to reserving your place, please contact us.
The course would be of benefit to those who want to learn R for data analysis, and requires no prior knowledge of R. This may include HTA analysts and researchers, health economists and modellers, mdeical affairs and market access professionals, or students and academics.
YHEC’s training courses are not recorded. However, the slides will be shared with the attendees after the session.
All of YHEC’s courses have limited places available to ensure that sessions permit discussion and interaction with the group. We can also offer bespoke training courses to accommodate a larger number of attendees.
As of 2020, all of YHEC’s training courses will be held virtually. If you would prefer to attend a face-to-face course, we can provide a bespoke training course held at your preferred location.
The course fee (less 10% administrative charge) will be refunded for cancellations received in writing at least one month prior to the training. Substitutes can be made, but please email the new attendee details to yhec@york.ac.uk.
Cancellations made less than one month prior to the study day are not refundable. In the unlikely event that, due to unforeseen circumstances, the training course has to be cancelled, only the course fees will be refunded.
We only accept payment via Stripe using a credit/debit card.