Event

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 has a unique background in both value of information methods and working as a biostatistician in clinical trials in a range of diseases areas. In this talk, she will explore some of the challenges and opportunities faced while trying to bring the value of information approach into clinical trial design.

Dr. 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. She is the Canada Research Chair in Statistical Trial Design. She holds a degree in Mathematics with French language from the University of Sheffield, UK and a PhD in Statistical Science from University College London. She arrived at SickKids in 2018 to lead the development of innovative statistical methodology for four clinical trials for novel treatments in the paediatric emergency department. In 2020, she founded the Enhancing Methods in Bayesian Randomized Clinical Trials (EMBaRC) lab to focus on developing novel statistical methodology, software, expertise and guidance to improve the efficiency and design of randomised clinical trials. This research combines many areas including biostatistics, evidence synthesis, meta-analysis, Bayesian methods, decision theory, health economic modelling and simulation based methods.

Date and time

Thursday, 23 April 9:30am AEST (UTC+10)

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