Episode 55: What is Adaptive Trial Design?

In this QCast episode, Jullia and Tom examine how adaptive trial design allows pre-specified changes to a clinical trial using accumulating interim data. They look at common adaptations, including early stopping, sample size re-estimation and dose selection, while also addressing the statistical, operational and governance controls needed to protect trial integrity.Key TakeawaysAdaptive changes must be planned in advance, with clear decision rules, timing and analysis methods.Recruitment speed, endpoint timing and data readiness can determine whether an adaptation is useful in practice.Statistical simulation, operational testing and controlled access to interim results all need to be considered before the first live analysis.🔗 Learn More & Get Support: Visit quanticate.com to explore our biometrics services and discover how we can support your next clinical trial. 📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.🔔 Stay Connected: Subscribe to QCast on Apple Podcasts, Spotify, or your favourite platform to never miss an episode.About QuanticateFounded 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 & ManagementBiostatistics & Statistical ConsultancyStatistical Programming & PK/PD AnalysisMedical Writing & PharmacovigilanceRegulatory & Submission SupportAI & AutomationPost-Marketing Safety & Real-World DataQuanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.