QCast: Data-Driven Dialogue in Drug Development
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 Takeaways * Simulation 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 [https://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 [https://quanticate.com/podcast]. 🔔 Stay Connected: Subscribe to QCast on Apple Podcasts, Spotify, or your favourite platform to never miss an episode. 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.
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