Bayesian Adaptive Randomised Clinical Trials Workshop, Sydney

A workshop on Bayesian adaptive randomised trials, delivered by international leaders in this field; Dr Lorenzo Trippa and Dr Steffen Ventz.

Update: This event is now sold-out. Please register for the wait-list to be notified if any tickets become available.

Adaptive clinical trial designs have proven valuable to accelerate the development of new treatments. Adaptive randomisation based on Bayesian principles has been proposed for testing several treatments in complex clinical trials on heterogeneous populations.

Recent applications suggest that outcome adaptive approaches can accelerate drug development processes. Adaptive algorithms attempt to learn and identify, during the trial, the best available treatment options for individual patients enrolled in the trial.

We are pleased to present a workshop on Bayesian adaptive randomised trials, delivered by two international leaders in this field:

Dr Lorenzo Trippa, PhD, is an Associate Professor with the Department of Biostatistics and Computational Biology at Dana-Farbern and the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.

Dr Steffen Ventz, PhD, is a research scientist with the Department of Data Sciences and the Center for Regulatory Sciences at the Dana-Farber Cancer Institute and the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.

This workshop is suitable for statisticians, clinicians and other scientists interested in innovative clinical trial designs and their analysis. Ideally delegates have an intermediate level of statistical expertise. Although not the main focus, the workshop involves practical sessions in R. Clinicians attending the workshop would ideally team up with a statistician during these sessions. Delegates should ensure that they have the R software installed in their laptops prior to attending the workshop.

The workshops are being presented in association with VicBiostat and the Australian Trials Methodology Research Network (AusTriM).