Causality: models, reasoning, and inference

Introduction to probabilities, graphs, and causal models

Theory of inferred causation

Causal diagrams and the identification of causal effects

Actions, plans, and direct effects

Causality and structural models in social science and economics

Simpson's paradox, confounding, and collapsibility

Logic of structure-based counterfactuals

Imperfect experiments: bounding effects and counterfactuals

Probability of causation: interpretation and identification

Actual cause.