Course curriculum

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    1. Getting Started with Precision Medicine

    2. Meet Your Instructors

    3. What You’ll Learn in This Course

    4. Let’s Get to Know You!

    1. Introduction to Personalised Medicine

    2. Introduction to prognosis research

    3. Introduction to Risk Prediction

    4. From Averages to Individuals: The Role of Heterogeneity in Precision Medicine

    5. Assignment: Exploring Heterogeneous Treatment Effects

    1. The Individual Treatment Effect

    2. The Average Treatment Effect

    3. Estimating Average Treatment Effects vs. Individual Treatment Effects

    4. The Conditional Average Treatment Effect

    5. Exploring HTE: A Case Study of the International Stroke Trial

    6. Test Your Knowledge

    1. The Role of Subgroup Analysis

    2. Limitations of Subgroup Analysis

    3. Using Baseline Risk to Personalize Treatment Decisions

    4. Limitations of relative treatment effect estimates

    5. From Baseline Risk to Predictive Modeling

    1. Modelling Individualised Treatment Effects

    2. How to Validate Treatment Effect Models

    3. Challenges and Opportunities in Personalized Medicine

    1. Stratifying Treatment Effects by Baseline Risk

    2. Introduction to precmed

    3. Getting Started with precmed

    4. Test Your Knowledge

About this course

  • Free
  • 29 lessons
  • 4 hours of video content

Instructors

Thomas Debray

Founder, Smart Data Analysis and Statistics

Dr. Thomas Debray is a leading expert in precision medicine and real-world evidence, with over a decade of experience in biostatistics. He has held research positions at Utrecht University, University College London, and the University of Oxford and is a guest scientist at University Medical Center Göttingen. As the founder of SDAS, he collaborates with pharma and biotech companies to advance clinical trial design, predictive modeling, and evidence-based decision-making.

Tri-Long Nguyen

Associate Professor

Dr. Long Nguyen is associate professor at the University of Copenhagen. He is conducting epidemiological/statistical methodological research at the nexus of causal inference and prediction modelling with medical and public health applications. Together with Dr. Thomas Debray and Prof. Robert Platt, he is editor of an upcoming book titled ‘Comparative Effectiveness and Personalized Medicine Research Using Real-World Data’.

Phoebe Jiang

Phoebe is a senior principal biostatistician at Biogen, a biotech company based in Cambridge dedicated to discovering, developing, and delivering transformative treatments for patients with neurological diseases. With deep expertise in precision medicine, she focuses on leveraging advanced data science methodologies, including machine learning and real-world data analytics, to tailor therapies and improve patient outcomes. Her work sits at the intersection of innovation and impact, translating complex data into actionable insights that support personalized healthcare. Phoebe received a PhD in Biostatistics at University of North Carolina at Chapel Hill.

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Advance Your Skills. Improve Patient Care.

Learn the science, apply the methods, and transform care—without cost, on your schedule, and with guidance from leaders in the field.

  • 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.

  • Cutting Edge

    Stay at the forefront of healthcare innovation by learning about the latest advancements in biostatistics, machine learning, and personalized medicine.

  • Real-World Applications

    Explore real case studies that show how precision medicine improves care and decision-making in practice.

  • Learn from Experts

    Master core concepts with guidance from leading researchers and practitioners.

  • Flexible Learning

    Designed for learners of all backgrounds, this course offers accessible and engaging content that fits your schedule and learning style.

  • Collaborative Community

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