In this QCast episode, Jullia and Tom unpack adaptive randomisation in clinical trials and why teams consider it when fixed allocation feels inefficient or ethically uncomfortable. They explain how response-adaptive randomisation can shift treatment assignment as evidence accumulates, and how patient characteristics can be incorporated through covariate-adjusted response-adaptive randomisation. 

Key Takeaways

• Understand what adaptive randomisation is, how it differs from fixed randomisation, and where response-adaptive approaches fit in modern trial design.
• Learn how baseline covariates and biomarkers can be used to tailor allocation in a controlled way, and why predictive signals matter more than simple risk stratification.
• Apply practical safeguards, including clear decision rules, realistic simulation planning, and strong governance around interim data and operational delivery.

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📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.
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About Quanticate

Founded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:

• Clinical Data Capture & Management
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Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.