Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
Sielinski, Casey Doyle, and Deepsha Menghani for helping review the work. Related articles: Causal inference (Part 1 of 3): Understanding the fundamentals Causal inference (Part 3 of 3): Model validation and applications