Causal Inference (Hardcover)

Part I Causal Inference without Models 1. A Definition of Causal Effect2. Randomized Experiments3. Pbservational Studies4. Effect Modification5. Interaction6. Graphical Representation of Causal Effects7. Confounding8. Selection Bias9. Measurement Bias10. Random Variability Part II Causal Inference with Models 11. Why Model?12. IP Weighting and Marginal Structural Models13. Standardization and the Parametric g-formula14. G-estimation of Structural Nested Models15. Outcome Regression and Propensity Scores16. Instrumental Variable Estimation17. Causal Survival Analysis18. Variable Selection for Causal Inference Part III Causal Inference from Complex Longitudinal Data 19. Time-varying Treatments20. Treatment-confounder Feedback21. G-methods for Time-varying Treatments22. Target Trial Emulation