Course curriculum

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    1. About this course

    2. Meet Your Instructor

    3. Understanding Indirect Treatment Comparisons and Evidence Networks

    4. Case Study: Comparison of Obesity Treatments

    5. Check Your Understanding: Comparing Weight-Loss Medications

    1. Principles and methods for indirect treatment comparisons

    2. Network meta-analysis explained

    3. Hands-on Practical: Indirect Treatment Comparisons in R

    4. A Thought Experiment on Evidence and Placebos

    1. Acceptance and Use of ITCs in HTA Decision-Making

    2. Further Reading

    1. Comparative Effectiveness of Treatments for COVID-19: A Network Meta-Analysis Example

    2. Comparative Effectiveness of Treatments for COPD: A Network Meta-Analysis Example

About this course

  • Free
  • 13 lessons
  • 1 hour of video content

Instructor

Thomas Debray

Founder, Smart Data Analysis and Statistics

Dr. Thomas Debray is a biostatistician specializing in predictive modeling and real-world evidence. With more than a decade of experience across Utrecht University, University College London, and the University of Oxford, he currently serves as a guest scientist at the University Medical Center Göttingen. As the founder of Smart Data Analysis and Statistics, he collaborates with leading pharma and biotech organizations to improve trial design, advance statistical innovation, and translate complex data into evidence that supports regulatory and clinical decision-making. He is the lead editor of the handbook Comparative Effectiveness and Personalized Medicine Research Using Real-World Data, reflecting his focus on bridging modern statistical methodology with practical, real-world applications.

Enroll Today

The initial course release is planned for October 22, 2025, with new materials added continuously.

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Advance Your Research. Strengthen Global Evidence.

Learn rigorous methods in comparative effectiveness and evidence synthesis—free of charge, at your own pace, and guided by leading experts in biostatistics and clinical research.

  • Completely Free

    Gain full access to a high-quality course at no cost, making it an incredible opportunity to enhance your knowledge without financial barriers.

  • Learn from Experts

    Master foundational and advanced concepts with direct input from leading researchers in comparative effectiveness research.

  • Collaborative Community

    Join a growing network of researchers and professionals. Share insights, ask questions, and grow together through peer support and expert interaction.

Funding

Developed with support from a leading European research initiative

This course was developed by Smart Data Analysis & Statistics (SDAS) as part of the Marie Curie Doctoral Network SHARE·CTD, a European Union–funded initiative advancing innovation in clinical trial data sharing and re-use (HORIZON-MSCA.2022-DN 101120360). It builds on SDAS’s contributions to training and methodological innovation in evidence synthesis and real-world data analysis.
Visit SHARE·CTD Website
Sharing and Re-using Clinical Trial Data to Maximise Impact

Partners and Collaborators

SHARE-CTD
Funded by the European Union
University of Gottingen