QCast: Data-Driven Dialogue in Drug Development

Episode 30: Adaptive Randomisation in Clinical Trials

Quanticate Episode 30

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0:00 | 12:49

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
  • Biostatistics & Statistical Consultancy
  • Statistical Programming & PK/PD Analysis
  • Medical Writing & Pharmacovigilance
  • Regulatory & Submission Support
  • AI & Automation
  • Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.