Explanation in Causal Inference Methods for Mediation and Interaction

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Format: Hardcover
Pub. Date: 2015-03-13
Publisher(s): Oxford University Press
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Author Biography


Tyler J. VanderWeele, Ph.D., is a methodologist at Harvard University. He holds degrees in biostatistics, mathematics, finance, philosophy and theology and is currently Professor of Epidemiology in the Departments of Epidemiology and Biostatistics at the Harvard School of Public Health and a faculty affiliate of the Institute of Quantitative Social Science at Harvard University. His empirical research has been in epidemiology, various fields within the social sciences, and the study of religion and health.

Table of Contents


PART I: MEDIATION ANALYSIS
Chapter 1. Explanation and Mechanism

Chapter 2. Mediation: Introduction and Regression-Based Approaches

Chapter 3. Sensitivity Analysis for Mediation

Chapter 4. Mediation Analysis with Survival Data

Chapter 5. Multiple Mediators

Chapter 6. Mediation Analysis with Time-Varying Exposures and Mediators

Chapter 7. Selected Topics in Mediation Analysis

Chapter 8. Other Topics Related to Intermediates


PART II: INTERACTION ANALYSIS
Chapter 9. An Introduction to Interaction Analysis

Chapter 10. Mechanistic Interaction

Chapter 11. Bias Analysis for Interactions

Chapter 12. Interaction in Genetics: Independence and Boosting Power

Chapter 13. Power and Sample-Size Calculations for Interaction Analysis


PART III: SYNTHESIS AND SPILLOVER EFFECTS
Chapter 14. A Unification of Mediation and Interaction

Chapter 15. Social Interactions and Spillover Effects

Chapter 16. Mediation and Interaction: Future and Context

Appendix. Technical Details and Proofs
References

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