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. Exploring and Summarizing Data

    2. Assignment 1: Solutions and Walkthrough

    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

About this course

  • Free
  • 32 lessons
  • 4 hours of video content
  • Hands-on R Exercises

Instructors

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.

Tri-Long Nguyen

Associate Professor, University of Copenhagen

Tri-Long Nguyen is an Associate Professor of Biostatistics at the University of Copenhagen. His research focuses on developing methodological advances in causal inference and prediction modeling, with applications across medicine and public health. He is an editor of the handbook Comparative Effectiveness and Personalized Medicine Research Using Real-World Data. His work bridges rigorous statistical theory with practical, real-world applications, making complex methods accessible to researchers seeking to generate reliable and actionable evidence.

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.

What Participants Say

5 star rating

Very good course

Apple User

Mastering difficult concepts written in dense statistical papers is a daunting task for most. This course bridges those difficulties by explaining difficult topics in a simple manner. Thank you to the instructors for the effort they put into devel...

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Mastering difficult concepts written in dense statistical papers is a daunting task for most. This course bridges those difficulties by explaining difficult topics in a simple manner. Thank you to the instructors for the effort they put into developing this.

Read Less
5 star rating

PM

Nigus Yimer

Absolutely fascinating course.

Absolutely fascinating course.

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  • Completely Free

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  • Cutting Edge

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

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