Targeted Learning: Causal Inference for Observational and Experimental Data

Establishes causal inference methodology that incorporates the benefits of machine learning with statistical inference

The presentation combines accessibility with the method's rigorous grounding in statistical theory

Demonstrates targeted learning in epidemiological, medical, and genomic experimental and observational studies that include informative dropout, missingness, time-dependent confounding, and case-control sampling