Episode 54: SAS vs R vs Python in Clinical Trials

In this QCast episode, Jullia and Tom look at SAS vs R vs Python through the lens of clinical trial delivery. Rather than treating the choice as a programming preference, they focus on where each tool tends to fit: SAS for established clinical reporting, R for statistical analysis and visualisation, and Python for automation, integration, and data workflows.Key TakeawaysSAS, R, and Python can all analyse clinical trial data, but they are not interchangeable.Regulators are concerned with the integrity of the analysis, not loyalty to a specific tool.Mixed-tool environments can work well when responsibilities are clear.🔗 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.