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From |
"Ariel Linden, DrPH" <ariel.linden@gmail.com> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: reL Re: st: Interpreting mediation model sobel goodman test |

Date |
Sun, 13 Nov 2011 11:13:54 -0500 |

Thank you, Cameron! I have read most of these papers, but there are some that are new to me... I would further suggest the following: Hong, G. (2010b). Ratio of mediator probability weighting for estimating natural direct and indirect effects. In 2010 proceedings of the American Statistical Association, Biometrics Section (pp. 2401-2415). Alexandria, VA: American Statistical Association. Guanglei Hong, Jonah Deutsch, Heather Hill. Parametric and Non-Parametric Weighting Methods for Mediation Analysis: An Application to the National Evaluation of Welfare-to-Work Strategies. Proceedings of the American Statistical Association, Biometrics Section. (In press) Peterson, M. L., Sinisi, S. E., & van der Laan, M. J. (2006). Estimation of direct causal effects. Epidemiology, 17(3), 276-284. Ariel Date: Sat, 12 Nov 2011 15:12:05 -0500 From: Cameron McIntosh <cnm100@hotmail.com> Subject: RE: reL Re: st: Interpreting mediation model sobel goodman test Hi Ariel, John's response is part of the iceberg (not necessarily only the tip, perhaps somewhere nearer the foundation) that is showing the deficiencies in the traditional statistical approaches to mediation. There is a large literature on causal mediation that you really should look into: Ten Have, T.R., & Joffe, M. (2010). A review of causal estimation of effects in mediation analyses. Statistical Methods in Medical Research, Epub ahead of print.http://www.ncbi.nlm.nih.gov/pubmed/21163849 Small, D.S. (September 7, 2011). Mediation Analysis Without Sequential Ignorability: Using Baseline Covariates Interacted with Random Assignment as Instrumental Variables.Philadelphia, PA: Department of Statistics, The Wharton School of the University of Pennsylvania.http://arxiv.org/PS_cache/arxiv/pdf/1109/1109.1070v1.pdf Pearl, J. (2011a). The mediation formula: A guide to the assessment of causal pathways in non-linear models. Tech. Rep. R-363. Los Angeles, CA: Department of Computer Science, University of California. To appear in C. Berzuini, P. Dawid, and L. Bernardinelli (Eds.), Causality: Statistical Perspectives and Applications. Forthcoming, 2011. http://ftp.cs.ucla.edu/pub/stat_ser/r363.pdf Pearl, J. (2011b). The Causal Mediation Formula - A Guide to the Assessment of Pathways and Mechanisms. Tech. Rep. R-363. Los Angeles, CA: Department of Computer Science,University of California. Forthcoming, Preventive Science.http://ftp.cs.ucla.edu/pub/stat_ser/r379.pdf Judea Pearl and possibly others. (November, 2011). Interpretable conditions for identifying natural direct effects. Technical Report R-389. Los Angeles, CA: Department of Computer Science, UCLA.http://ftp.cs.ucla.edu/pub/stat_ser/r389.pdf Gerring, J. (2010). Causal Mechanisms: Yes, But. Comparative Political Studies, 43(11), 1499-1526.http://sws1.bu.edu/jgerring/documents/CausalMechanisms.pdf Bullock J.G., Green, D.P., & Han, S.E. (2010). Yes, but what's the mechanism? (don't expect an easy answer). Journal of Personality and Social Psychology, 98(4), 550-558.http://vote.research.yale.edu/pl504/mediation_psychology%205-2-09.pd fhttp://supp.apa.org/psycarticles/supplemental/psp_98_4_550/mediation_psycho logy_appendix.pdfhttp://bullock.research.yale.edu/papers/mediation_JPSP_appe ndix.pdf Albert, J.M., & Nelson, S. (2011). Generalized Causal Mediation Analysis. Biometrics, 67(3), 1028-1038.http://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2010.01547. x/fullhttp://www.biometrics.tibs.org/datasets/090828M_FINAL_supp_materials.p df Shpitser, I., & VanderWeele, T.J. (2011). A Complete Graphical Criterion for the Adjustment Formula in Mediation Analysis. The International Journal of Biostatistics, 7(1), Article 16. http://www.bepress.com/ijb/vol7/iss1/16 VanderWeele, T.J., & Vansteelandt, S. (2009). Conceptual issues concerning mediation, interventions and composition. Statistics and Its Interface, 2, 457-468.http://www.math.mcgill.ca/~dstephens/dokuwiki/lib/exe/fetch.php?medi a=vanderweele_effect_decomposition_stats_interface_2009.pdf VanderWeele, T.J. (2011). Controlled Direct and Mediated Effects: Definition, Identification and Bounds. Scandinavian Journal of Statistics, 38(3), 551-563. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9469.2010.00722.x/suppinfo http://onlinelibrary.wiley.com/store/10.1111/j.1467-9469.2010.00722.x/asset/ supinfo/SJOS_722_sm_AppendixS1.pdf?v=1&s=25efa14aa51c9a7d90ef2180a24c14a408f 58e56 Glynn, A.N. (May 11, 2011). The Product and Difference Fallacies for Indirect Effects. http://scholar.harvard.edu/aglynn/files/mechanisms.pdf Glynn, A.N. (July 14, 2008).Estimating and Bounding Mechanism Specific Causal Effectshttp://polmeth.wustl.edu/media/Paper/mse.pdf Imai, K., Keele, L., Tingley, D., & Yamamoto, T. (2011). Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies. Forthcoming in American Political Science Review.http://www.personal.psu.edu/ljk20/mediationP.pdfhttp://dvn.iq.harvard .edu/dvn/dv/dtingley/faces/study/StudyPage.xhtml?studyId=71336&versionNumber =1 Imai, K., Keele, L., & Tingley, D. (2010). A general approach to causal mediation analysis. Psychological Methods, 15(4), 309-334.http://imai.princeton.edu/research/files/BaronKenny.pdf Imai, K., Keele, L., & Yamamoto, T. (2010a). Identification, Inference and Sensitivity Analysis for Causal Mediation Effects. Statistical Science, 25(1), 51-71.http://imai.princeton.edu/research/files/mediation.pdf Imai, K., Keele, L., & Yamamoto, T. (2010b). Replication data for: Identi?cation, inference, and sensitivity analysis for causal mediation effects. Available at http://hdl.handle.net/1902.1/14412. Imai, K., Keele, L., & Tingley, D., & Yamamoto, T. (2010). Causal Mediation Analysis Using R. In H. D. Vinod (Ed.), Advances in Social Science Research Using R (pp. 129-154). New York: Springer (Lecture Notes in Statistics).http://imai.princeton.edu/research/files/mediationR.pdfhttp://cr an.r-project.org/web/packages/mediation/vignettes/mediation.pdf Keele, L., Tingley, D., Yamamoto, T., & Imai, K. (August 21, 2011). Package 'mediation': R Package for Causal Mediation Analysis, Version 3.1.http://cran.r-project.org/web/packages/mediation/mediation.pdfhttp://cra n.r-project.org/web/packages/mediation/index.html Tingley, D. (June 18, 2011). MEDIATION: Stata module for causal mediation analysis and sensitivity analysis.http://ideas.repec.org/c/boc/bocode/s457294.htmlhttp://scholar.harv ard.edu/dtingley/files/mediationstata.pdf Imai, K., Tingley, D., & Yamamoto, T. (Draft of August 10, 2011). Experimental designs for identifying causal mechanisms.http://imai.princeton.edu/research/files/Design.pdf Imai, K., & Yamamoto, T. (Draft of June 29, 2011). Sensitivity analysis for causal mediation effects under alternative exogeneity assumptions. http://imai.princeton.edu/research/files/medsens.pdf Cam * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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