Table of Contents ( Book / Chapter 11)
11 Reflections, Elaborations, and Discussions with Readers
11.1 Causal, Statistical, and Graphical Vocabulary
11.1.1 Is the causal-statistical dichotomy necessary?
11.1.2 d-Separation Without Tears (Chapter 1, pp. 16-18)
11.3 Estimating Causal Effects
11.3.1 The intuition behind the back-door criterion (Chapter 3, p. 79)
11.3.2 Demystifying "strong ignorability"
11.3.3 Alternative proof of the back-door criterion
11.3.4 Data vs. knowledge in covariate selection
11.3.5 Understanding Propensity Scores
11.5.3 Defending the Causal Interpretation of SEM (or SEM Survival Kit)