How can we use group data to treat individual patients?

This course features lecture recordings from the first part of the 2015 symposium on Using Group Data to Treat Individuals (link to the bundles page) presented by the Predictive Analytics and Comparative Effectiveness (PACE) center at Tufts Medical Center.

Learning Objectives & Content Outline

Lecture 1. Introduction to Heterogeneity of Treatment Effect (HTE)

David Kent, MD, MSc

After completing this lecture, you will be able to:

• Describe current approaches and limitations to evidence-based medicine
• Describe current approaches to detecting HTE in clinical trials
• Describe the advantages of risk modeling appraoches to HTE estimation.

Lecture 2. Risk and Treatment Effects

Peter Rothwell, MD, PhD

After completing this lecture, you will be able to:

• Describe ways we can estimate how to treat individual patients
• Discuss general clinical situations that might be most appropriate for risk targeting.

Lecture 3. Genetic Predication of Common Diseases

After completing this lecture, you will be able to:

• Explain how and when pharmacogenetics can work
• Discuss methodological barriers to genomic prediction
• Discuss the future of genomic prediction.