TMLE + Machine Learning for Causal Effects on Time-to-Event Outcomes

This is a playbook for statisticians on how to use advanced machine learning safely when answering questions like “Does this drug really reduce the risk of death or relapse over time?” It combines causal inference math with survival analysis so that researchers can get more reliable answers from complex clinical data without fooling themselves.