Join Professor Victoria Cornelius to hear how statistical methods such as Bayesian approaches, adaptive designs and decentralised trials are transforming clinical research and delivering faster, more efficient and more impactful patient outcomes. How can these methods change the future of patient care?

Please register to attend in person. A live stream link is available on this page.

We look forward to seeing you on Thursday 30 October!

Abstract

Randomized controlled trials provide the most reliable way to identify which treatments do and do not work. The world and research environment has changed dramatically since the first randomized controlled in 1948 by Medical Research Council, but traditional trials have remained a core staple despite escalating trial costs and time to deliver. Better statistical methods that offer substantial increases in efficiency and accuracy have been around for many years and are still evolving rapidly. Primed by experiences in the pandemic, the research environment is now ready to adopt these methods widely to make a real change to patient and public health.

In this inaugural lecture, Professor Victoria Cornelius will journey through her research looking at examples where innovations in statistical methods have made real changes to clinical trials and the outcomes achieved. She will look at designing trials to evaluate much needed treatments for uncommon conditions, as well as high risk interventions where smaller sample size is desirable. She will introduce how Bayesian statistics, adaptive trials, and decentralized approaches will be able to revolutionize how we undertake trials leading to improved and faster patient benefit.

Biography

Victoria is a Professor of Medical Statistics and Trial Methodology, she is Director of the Imperial Clinical Trials Unit (ICTU) and co-Director of the NIHR Research Support Service Imperial College London and Partners Hub. Prior to joining Imperial College London, Victoria held roles as King’s College London, Southampton and Oxford University. Victoria undertakes research to evaluate drugs and complex interventions using approaches that promote statistical efficiency through adaptive approaches in both Bayesian and frequentist frameworks. Her methodological research includes improving the analysis of adverse events and using innovative approaches to design trials for evaluation of interventions in uncommon conditions. A key priority for Victoria has been advocating for team science and promoting the important role of statisticians in interdisciplinary research.