Episode 44: Clinical Trial Simulation

In this QCast episode, co-hosts Jullia and Tom explore clinical trial simulation and how it supports better study design decisions before a trial begins. They explain how simulation uses statistical and mathematical models to test plausible study scenarios, rather than relying on a single fixed assumption.Key TakeawaysSimulation helps teams see how a study design may behave under different assumptions around treatment effect, variability, dropout, recruitment, or safety.The right model depends on the question, whether that is dose selection, endpoint choice, interim planning, or operational feasibility.Simulation is most useful when scenarios reflect clinical and operational reality, with clear assumptions, verification, and communication.🔗 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.