Network Meta-Analysis and Multilevel Network Meta-Regression for Health Technology Assessment in R

Network Meta-Analysis and Multilevel Network Meta-Regression for Health Technology Assessment in R

This two-day in-person course is for statisticians, health economists, and decision modellers who are interested in understanding and applying the latest evidence synthesis and population adjustment methodologies in health technology assessment (HTA). The course is appropriate for anyone involved in undertaking, managing, or critiquing evidence synthesis projects in HTA who has a strong quantitative background. Please see the course webpage for further details.

Evidence of student status will be required for those booking a Student place.

Refund Policy:
You can make substitutions at no charge, provided we are notified in writing no less than two weeks before the first day of the course. After that date, there will be an administration charge of 10% of the course fees. Cancellations must be received in writing no later than two weeks before the first day of the course and will be subject to an administration charge of 15% of the course fees. If you cancel after this time and we cannot fill your place you will be liable for the full course fee. It is not possible to transfer bookings to a later course. In the unlikely event that the course is cancelled, our liability is limited to refunding course fees only.

Contact Info:
holly.teanby@bristol.ac.uk
0117 455 8575