Course curriculum

💡 We're continuously updating this course with new materials and improvements based on the latest developments and your feedback. Help us shape the best free introductory course on indirect treatment comparisons—your input makes it better for everyone!

    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

Meet your 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.

Learner Feedback

5 star rating

Excellent introduction to ITC

Digant Gupta

Good introductory course, clear materials, relevant examples.

Good introductory course, clear materials, relevant examples.

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Start learning today

Free access to all lessons and worked examples. Study at your own pace.

Join the course

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 free course was developed and sponsored by Smart Data Analysis & Statistics (SDAS) as a contribution to the training programme of SHARE·CTD, a doctoral network funded through the European Union’s Marie Skłodowska-Curie Actions.
Learn more about SHARE·CTD
Sharing and Re-using Clinical Trial Data to Maximise Impact

Partners and Collaborators

SHARE-CTD
Funded by the European Union
University of Gottingen