Unlock the potential of pooled analyses of randomized controlled trial (RCT) data with this hands-on, comprehensive course tailored for clinical trial statisticians. Whether you’re aiming to analyze rare adverse events, identify subgroup effects, or personalize treatment strategies, this course equips you with the skills to apply cutting-edge statistical techniques in real-world clinical trial settings.

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Don't miss this opportunity! Whether you're working with individual participant data (IPD) or meta-analysis techniques, this course equips you with the tools to refine your analyses and maximize trial insights.

What You Will Learn

This course offers practical insights and tools to harness the power of pooled analyses in randomized controlled trial (RCT) data, helping you elevate your statistical expertise and apply it effectively in clinical research. Key takeaways include:

• Techniques for Pooled Analyses: Learn how to effectively pool individual participant data (IPD) from multiple trials while managing differences between study populations and designs.
• Personalized Insights: Explore how meta-analysis techniques can be used to investigate sources of heterogeneity, analyze subgroup effects, and estimate personalized treatment effects.
• Practical Applications: Engage with real-world case studies that demonstrate how pooled analyses can improve clinical decision-making and drug development.
• Evidence-Based Design: Equip yourself with the tools to design impactful pooled analyses that inform regulatory submissions and personalized medicine approaches.

By combining cutting-edge methodologies with hands-on applications, this course ensures participants leave with actionable skills to advance their work in clinical trials and evidence synthesis.

Who Should Attend?

• Clinical trial statisticians
• Biostatisticians
• Researchers in pharmaceutical and biotech industries
• Data scientists and academics interested in evidence synthesis

Meet the Experts

Learn from two esteemed biostatistics leaders, Dr. Thomas Debray and Prof. Tim Friede, as they bring their expertise in evidence synthesis and clinical trial methodology to this comprehensive pre-conference course.

• Dr. Thomas Debray, PhD – Founder of SDAS, Netherlands
  A trailblazing statistician with extensive expertise in evidence synthesis, real-world evidence, and precision medicine, Thomas has authored key methodological guidelines, such as TRIPOD-Cluster, and developed statistical tools like SimTOST for bioequivalence trial design. Thomas' leadership in academic research and industry partnerships makes him a sought-after expert in clinical trial methodology.
• Prof. Tim Friede, PhD – University Medical Center Göttingen, Germany
  A globally recognized biostatistician, Tim has extensive experience in clinical trial design and evidence synthesis. As Professor of Biostatistics and head of the Department of Medical Statistics at Göttingen, Tim brings a wealth of knowledge in advanced biostatistical methods and their practical applications in drug development.