17 Feb 2027 09:00am to 18 Feb 2027 05:00pm

Summer School 2027: Adaptive Platform Trials

Workshop
Event Location
Australia
Speakers
Prof Katherine Kate Lee
Katherine (Kate) is a professor of biostatistics at the Murdoch Children’s Research Institute and is the Associate Director: Biostatistics of the Melbourne Children’s Trials Centre. She also holds an honorary...
Robert Mahar received a PhD in Biostatistics at the University of Melbourne in 2019, following completion of a Master of Biostatistics at the University of Queensland in 2014. He is...
Dr Julie Marsh
Julie is an experienced statistical consultant who worked in the pharmaceutical industry for many years before returning to academia. She teaches statistics at the University of Western Australia and is...
Prof Leonid Churilov
Leonid is Professor of Biostatistics at Melbourne Medical School, University of Melbourne. He obtained his PhD in Operations Research in 1998 at the University of Melbourne. He actively collaborates both...

An adaptive platform trial is a randomised trial design that compares at least one intervention to a control with the capacity to add and remove interventions over time according to rules defined in a master (or core) protocol. Platform trials can investigate multiple research questions under a shared trial infrastructure, leading to operational efficiencies and improved allocation of resources compared to conventional trial designs. However, this comes at a cost of increased complexity in the design, conduct and analysis.

In this two-day workshop, we provide an overview of adaptive platform trials, and outline and discuss the key practical and statistical issues with such designs.

Day 1 provides the background to and some examples of platform trials, before focusing on issues during the design of adaptive platform trials, including the types of research question, establishing the adaptations, databases, governance, documentation and applying for funding aimed at both a statistical and a clinical audience.

Day 2 focusses on the statistical issues of simulation for sample size and design, randomisation, the statistical documentation, analyses planning, and the role of the Data Safety Monitoring Committee aimed at a statistical audience.

 

Requirements: The workshop can be attended as a 1 or 2-day workshop, with both days consisting of a combination of lectures and practicals focussed around designing and navigating a trial. Participants should have a working knowledge of randomised trials to attend this workshop, with knowledge of platform trials required for Day 2.

 

Dates:

Wednesday 17 & Thursday 18 February 2027

 

Location:

The University of Melbourne

Venue location to be advised.

While in-person attendance is highly recommended, this course is also accessible remotely via Zoom.

 

Registration:

Registration will open soon and will close one week prior (11 February 2027) unless sold out.

Early-bird rates (a 10% discount on the below listed prices) are available until 30 September 2026.

 

Registration pricing:

1-day (Wed 17 only)

Standard

$570

Student

$410

2-day

Standard

$1,070

Student

$780

 

Cancellation policy:

If you are no longer able to attend, please notify us at your earliest convenience.

Ticket changes and refunds may be requested up to Friday, 29 January 2027 by writing to