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Ratio-of-Mediator-Probability Weighting for Causal Mediation Analysis in the Presence of Treatment-by-Mediator Interaction

Author

Listed:
  • Guanglei Hong
  • Jonah Deutsch
  • Heather D. Hill

Abstract

Conventional methods for mediation analysis generate biased results when the mediator–outcome relationship depends on the treatment condition.

Suggested Citation

  • Guanglei Hong & Jonah Deutsch & Heather D. Hill, 2015. "Ratio-of-Mediator-Probability Weighting for Causal Mediation Analysis in the Presence of Treatment-by-Mediator Interaction," Mathematica Policy Research Reports 328b045b48b14d9ea3f7d0fe9, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:328b045b48b14d9ea3f7d0fe995ad67c
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    File URL: http://jeb.sagepub.com/content/40/3/307.abstract
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    Citations

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    Cited by:

    1. Guanglei Hong & Xu Qin & Fan Yang, 2018. "Weighting-Based Sensitivity Analysis in Causal Mediation Studies," Journal of Educational and Behavioral Statistics, , vol. 43(1), pages 32-56, February.
    2. Xu Qin & Guanglei Hong, 2017. "A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism," Journal of Educational and Behavioral Statistics, , vol. 42(3), pages 308-340, June.
    3. Thomas Coen & Sarah M. Hughes & Matthew Ribar & William Valletta & Kristen Velyvis, "undated". "Evaluation of the Irrigation and Water Resource Management Project in Senegal: Interim Evaluation Report," Mathematica Policy Research Reports d61e6ded74a24d40a2121bd80, Mathematica Policy Research.
    4. Steen, Johan & Loeys, Tom & Moerkerke, Beatrijs & Vansteelandt, Stijn, 2017. "medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i11).
    5. Guanglei Hong & Fan Yang & Xu Qin, 2023. "Posttreatment confounding in causal mediation studies: A cutting‐edge problem and a novel solution via sensitivity analysis," Biometrics, The International Biometric Society, vol. 79(2), pages 1042-1056, June.

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