PHM5014 – Causal Inference in Precision Medicine
Course Overview
In this course, we will cover the basics of predictive modelling and an overview of machine learning, including common and useful algorithms. We discuss causal inference techniques like instrumental variables, and difference-in-differences. Finally, we briefly discuss Multi-Armed Bandits and their algorithms.
Learning Outcomes
At the end of this course, the student will be able to
- Understand causal inference and associated techniques.
- Apply econometric techniques to make causal inferences.
- Implement basic multi-armed bandit algorithms
- Implement common predictive algorithms
- Understand the basics of machine learning
Course Outline
- Python
- Instrumental Variables and two stage least squares
- Difference-in-Differences
- Randomized controlled trials
- Price discrimination
- Multi-armed Bandits
- Machine learning algorithms
Course Requirements
Student must have taken the core course Applied Statistics for Precision Medicine or any similar modules.