QCast: Data-Driven Dialogue in Drug Development

Episode 9: Randomisation in Clinical Trials

Quanticate Episode 9

In this QCast episode, Jullia and Tom break down randomisation in clinical trials—why it matters, how different methods work, and what safeguards keep allocations fair and consistent across sites. They cover simple, block, and stratified randomisation, touch on unequal allocation and adaptive designs, and share a practical case study from a 5-arm trial. 

Key Takeaways

  • Randomisation reduces bias, supports blinding, and strengthens trial validity.
  • Simple, block, and stratified methods suit different trial sizes and needs.
  • Unequal allocation and adaptive designs require clear rationale and oversight.
  • Centralised systems keep assignments consistent and unpredictable across sites.
  • Strong planning, role separation, and quality control ensure reliable execution.


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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.