Introduction to methods for personalizing medicine
Abstract
After highlighting the need to address the gap between evidence of average treatment effects and personalized clinical decision-making, this chapter focuses on methods incorporating patient characteristics to tailor treatment decision-making. After introducing the role of biomarkers in personalizing medicine at the pre-market authorization phase, this chapter focuses more extensively on methods for personalizing approved treatments, specifically by predicting what is often referred to as ‘individualized treatment effects'.
Fields of Study & Subjects
Advanced Causal Inference Techniques
Statistical Methods in Clinical Trials
Machine Learning in Healthcare
Publication details
- Journal / source
- Chapman & Hall/CRC eBooks
- Pages
- 421–463
- Publication date
- 11 March 2026
- Language
- EN
- Document type
- Book chapter