Join us for an intensive full day course on Response Adaptive Randomization (RAR). This course will provide a practical, hands-on introduction to RAR, from a based grounded on theory to then focus on real-world implementation.
The course will cover the fundamental principles of RAR design and analysis, including:
• How to implement and compare different RAR designs in practice.
• Key considerations for targeting optimal allocation proportions.
• Advanced methodological topics such as early stopping and statistical estimation.
• Practical applications of RAR, including in rare disease settings and dose-finding studies.
• A deep dive into a real-world example, the ARREST trial.
Through a combination of lectures and practical sessions (using a R Shiny app), you will gain the skills and knowledge to understand, implement, and critically evaluate RAR designs. This course is ideal for statisticians, methodologists, and clinical trial professionals seeking to enhance their expertise in innovative trial design.
About the presenter:
A/Prof Sofia S. Villar - MRC Biostatistics Unit, Cambridge, UK
Since September 2020, Sofia has been an MRC Investigator (Programme Leader) working as part of the Efficient Study Design (ESD) theme of the MRC Biostatistics Unit. Her research aims to improve clinical trial design through the development of innovative methods that lie in the intersection between optimisation, machine learning and statistics.
In 2025, Dr Villar was awarded the Frank Hansford-Miller Fellowship, supporting collaboration between the Australian and UK statistical communities. As part of the Fellowship, she will visit Perth to deliver a keynote presentation and participate in ASC2025 activities
Cancellation Policy:
Cancellations received prior to two weeks before the event will be refunded, minus the Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20.
From then on, no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.
@StatSocAus
