Mediation: R package for causal mediation analysis

Journal of Statistical Software

Volumn 59, Issue 5, 2014, Pages 1-38

  Tingley, Dustin ^a   Yamamoto, Teppei ^b   Hirose, Kentaro ^c   Keele, Luke ^d   Imai, Kosuke ^c  

^a HARVARD UNIVERSITY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c PRINCETON UNIVERSITY   (United States)

^d PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Causal mechanisms; Mediation analysis; Mediation, R.

Indexed keywords

EID: 84899635953     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v059.i05     Document Type: Article

References (28)

1. Angrist JD, Imbens GW, Rubin DB (1996). “Identification of Causal Effects Using Instrumental Variables.” Journal of the American Statistical Association, 91(434), 444–455.
2. Baron RM, Kenny DA (1986). “The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations.” Journal of Personality and Social Psychology, 51(6), 1173–1182.
3. Bates D, Maechler M, Bolker B, Walker S (2014). lme4: Linear Mixed-Effects Models using Eigen and S4. R package version 1.1-7, URL http://CRAN.R-project.org/package=lme4.
4. Brader T, Valentino NA, Suhat E (2008). “What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration.” American Journal of Political Science, 52(4), 959–978.
5. DiCiccio TJ, Efron B (1996). “Bootstrap Confidence Intervals.” Statistical Science, 11(3), 189–228.
6. Haavelmo T (1943). “The Statistical Implications of a System of Simultaneous Equations.” Econometrica, 11(1), 1–12.
7. Hicks R, Tingley D (2011). “Causal Mediation Analysis.” Stata Journal, 11(4), 609–615.
8. Imai K, Keele L, Tingley D (2010a). “A General Approach to Causal Mediation Analysis.” Psychological Methods, 15(4), 309–334.
9. Imai K, Keele L, Tingley D, Yamamoto T (2010b). “Causal Mediation Analysis Using R.” In HD Vinod (ed.), Advances in Social Science Research Using R, Lecture Notes in Statistics, pp. 129–154. Springer-Verlag, New York.
10. Imai K, Keele L, Tingley D, Yamamoto T (2011). “Unpacking the Black Box: Learning about Causal Mechanisms from Experimental and Observational Studies.” American Political Science Review, 105(4), 765–789. URL http://imai.princeton.edu/research/mediationP.html.
11. Imai K, Keele L, Tingley D, Yamamoto T (2014). “Commentary: Practical Implications of Theoretical Results for Causal Mediation Analysis.” Psychological Methods. Forthcoming.
12. Imai K, Keele L, Yamamoto T (2010c). “Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects.” Statistical Science, 25(1), 51–71.
13. Imai K, Tingley D, Yamamoto T (2013). “Experimental Designs for Identifying Causal Mechanisms.” Journal of the Royal Statistical Society A, 176(1), 5–51.
14. Imai K, Yamamoto T (2013). “Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments.” Political Analysis, 21(2), 141–171.
15. Krull JL, MacKinnon DP (2001). “Multilevel Modeling of Individual and Group Level Mediated Effects.” Multivariate Behavioral Research, 36(2), 249–277.
16. MacKinnon D (2008). Introduction to Statistical Mediation Analysis. Routledge, New York.
17. Pearl J (2001). “Direct and Indirect Effects.” In Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence, pp. 411–420. Morgan Kaufmann, San Francisco.
18. Pearl J (2014).“Interpretation and Identification of Causal Mediation.” Psychological Methods. doi:10.1037/a0036434. Forthcoming.
19. Preacher KJ, Hayes AF (2008). “Asymptotic and Resampling Strategies for Assessing and Comparing Indirect Effects in Multiple Mediator Models.” Behavior Research Methods, 40(3), 879–891.
20. R Core Team (2014). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
21. Robins JM, Greenland S (1992). “Identifiability and Exchangeability for Direct and Indirect Effects.” Epidemiology, 3(2), 143–155.
22. Shadish WR, Cook TD, Campbell DT (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin, Boston.
23. StataCorp (2013). Stata Data Analysis Statistical Software: Release 12. StataCorp LP, College Station, TX. URL http://www.stata.com/.
24. Tingley D, Yamamoto T, Hirose K, Keele L, Imai K (2013). Mediation: R Package for Causal Mediation Analysis. R package version 4.4.2, URL http://CRAN.R-project.org/package=mediation.
25. Vinokur AD, Price RH, Schul Y (1995). “Impact of the JOBS Intervention on Unemployed Workers Varying in Risk for Depression.” American Journal of Community Psychology, 23(1), 39–74.
26. Yamamoto T (2013). “Identification and Estimation of Causal Mediation Effects with Treatment Noncompliance.” Unpublished Manuscript.
27. Zeileis A (2006). “Object-Oriented Computation of Sandwich Estimators.” Journal of Statistical Software, 16(9), 1–16. URL http://www.jstatsoft.org/v16/i09/.
28. Zhang Z, Zyphur MJ, Preacher KJ (2009). “Testing Multilevel Mediation Using Hierarchical Linear Models.” Organizational Research Methods, 12(4), 695–719.