This event has now finished.
  • Date and time: Wednesday 11 June 2025, 11.15am to 12.15pm
  • Location: A/A/019/020: Alcuin A Block, Campus West, University of York, with Zoom available (not recorded), Zoom link available via the mailing list - joining details below
  • Audience: Open to staff, students (postgraduate researchers only)
  • Admission: Free admission, booking not required

Event details

Abstract: Value of Information has been suggested as a tool for research design as it can compute the economic value of a proposed research study. Given the high costs associated with randomised clinical trials, value of information has great potential to improve their design and ensure maximum value for society. However, the design of randomised clinical trials is highly regulated, particularly for pivotal efficacy studies, which makes it challenging to use these, and other, innovative design methods to maximise the impact of clinical trials. Dr. Heath is based at the Hospital for Sick Children, Toronto and works on value of information methods and as a biostatistician on clinical trials in a range of diseases areas. In this talk, she will explore some of the challenges and opportunities she has faced while trying to bring these two worlds together to improve research design.

 

If you are not a member of University of York staff and are interested in attending a seminar, please contact alfredo.palacios@york.ac.uk or shainur.premji@york.ac.uk so that you can be added to the mailing list.

About the speaker

Speaker: Anna Heath, Canada Research Chair in Statistical Trial Design

Anna Heath is a Scientist at The Hospital for Sick Children (SickKids), Toronto, an Associate Professor at University of Toronto and Honorary Research Fellow at University College London, UK. Her research aims to develop novel statistical methodology, software, expertise and guidance to improve the efficiency and design of clinical trials. She works across a range of clinical areas including the paediatric emergency department, adult intensive care and rare diseases in children. Her research combines many areas including biostatistics, Bayesian methods, decision theory, health economic modelling and simulation based methods.

Contact

Alfredo Palacios / Shainur Premji