When the Pancreatic Cancer Action Network^© were launching an important master protocol trial designed to accelerate outcomes in a cancer with a less than 10% survival rate, they were presented with a challenge:

How do you set up an IRT system for a perpetual design to account for seamless introduction of new investigational treatments?

When your goal is to identify effective and ineffective treatments more quickly than traditional trials through a Complex Innovative Design, the right IRT system is crucial.

In this case study, we discuss:

• How a Complex Innovative Design is used to evaluate multiple treatments in multiple patient populations and why leveraging a flexible IRT is key
• Why early and frequent collaboration amongst key players drives successful implementation of the IRT for Complex Innovative Designs.
• How IRT systems can be built to accommodate future unknowns.
• Leveraging a Bayesian Response-Adaptive Randomization (BRAR) algorithm to “learn as you go” and how the IRT dynamically responds to changing probabilities.