The CAUSALMED Procedure

References

  • Baron, R. M., and Kenny, D. A. (1986). “The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations.” Journal of Personality and Social Psychology 51:1173–1182.

  • Bollen, K. A. (1989). Structural Equations with Latent Variables. New York: John Wiley & Sons.

  • Cox, D. R. (1972). “Regression Models and Life-Tables.” Journal of the Royal Statistical Society, Series B 34:187–220. With discussion.

  • Hong, G. (2015). Causality in a Social World: Moderation, Mediation, and Spill-Over. New York: John Wiley & Sons.

  • Imai, K., Keele, L., Tingley, D., and Yamamoto, T. (2010). “Causal Mediation Analysis Using R.” In Advances in Social Science Research Using R, edited by H. D. Vinod, 129–154. New York: Springer.

  • Kalbfleisch, J. D., and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data. New York: John Wiley & Sons.

  • Lagakos, S., and Mosteller, F. (1981). “A Case Study of Statistics in the Regulatory Process: The FD&C Red No. 40 Experiments.” Journal of the National Cancer Institute 66:197–212.

  • Lawless, J. F. (2003). Statistical Model and Methods for Lifetime Data. 2nd ed. New York: John Wiley & Sons.

  • Marjoribanks, K., ed. (1974). Environments for Learning. London: National Foundation for Educational Research Publications.

  • Pearl, J. (2001). “Direct and Indirect Effects.” In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, edited by J. Breese and D. Koller, 411–420. San Francisco: Morgan Kaufmann.

  • Pearl, J. (2009). Causality: Models, Reasoning, and Inference. 2nd ed. Cambridge: Cambridge University Press.

  • Robins, J. M., and Greenland, S. (1992). “Identifiability and Exchangeability for Direct and Indirect Effects.” Epidemiology 3:143–155.

  • Valeri, L., and VanderWeele, T. J. (2013). “Mediation Analysis Allowing for Exposure-Mediator Interactions and Causal Interpretation: Theoretical Assumptions and Implementation with SAS and SPSS Macros.” Psychological Methods 18:137–150.

  • Valeri, L., and VanderWeele, T. J. (2015). “SAS Macro for Causal Mediation Analysis with Survival Data.” Epidemiology 26:e23–e24.

  • VanderWeele, T. J. (2011). “Causal Mediation Analysis with Survival Data.” Epidemiology 22:582–585.

  • VanderWeele, T. J. (2014). “A Unification of Mediation and Interaction: A 4-Way Decomposition.” Epidemiology 25:749–761.

  • VanderWeele, T. J. (2015). Explanation in Causal Inference: Methods for Mediation and Interaction. New York: Oxford University Press.

  • VanderWeele, T. J., and Vansteelandt, S. (2009). “Conceptual Issues Concerning Mediation, Interventions and Compositions.” Statistics and Its Interface 2:457–468.

  • VanderWeele, T. J., and Vansteelandt, S. (2010). “Odds Ratios for Mediation Analysis for a Dichotomous Outcome.” American Journal of Epidemiology 172:1339–1348.

Last updated: December 09, 2022