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Mediation analysis with time varying exposures and mediators

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  • Tyler J. VanderWeele
  • Eric J. Tchetgen Tchetgen

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  • Tyler J. VanderWeele & Eric J. Tchetgen Tchetgen, 2017. "Mediation analysis with time varying exposures and mediators," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 917-938, June.
    • Handle: RePEc:bla:jorssb:v:79:y:2017:i:3:p:917-938
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    References listed on IDEAS

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    1. E. J. Tchetgen Tchetgen & I. Shpitser, 2014. "Estimation of a semiparametric natural direct effect model incorporating baseline covariates," Biometrika, Biometrika Trust, vol. 101(4), pages 849-864.
    2. R. M. Daniel & B. L. De Stavola & S. N. Cousens & S. Vansteelandt, 2015. "Causal mediation analysis with multiple mediators," Biometrics, The International Biometric Society, vol. 71(1), pages 1-14, March.
    3. Sylvie Goetgeluk & Stijn Vansteelandt & Els Goetghebeur, 2008. "Estimation of controlled direct effects," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 1049-1066, November.
    4. Shpitser Ilya & VanderWeele Tyler J, 2011. "A Complete Graphical Criterion for the Adjustment Formula in Mediation Analysis," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-24, March.
    5. Sara Geneletti, 2007. "Identifying direct and indirect effects in a non‐counterfactual framework," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(2), pages 199-215, April.
    6. Jeffrey M. Albert & Suchitra Nelson, 2011. "Generalized Causal Mediation Analysis," Biometrics, The International Biometric Society, vol. 67(3), pages 1028-1038, September.
    7. Imai, Kosuke & Yamamoto, Teppei, 2013. "Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments," Political Analysis, Cambridge University Press, vol. 21(2), pages 141-171, April.
    8. R. Gargiulo & Mark Stokes, 2009. "Subjective Well-Being as an Indicator for Clinical Depression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 92(3), pages 517-527, July.
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    Citations

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    Cited by:

    1. Zheng Wenjing & van der Laan Mark, 2017. "Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes," Journal of Causal Inference, De Gruyter, vol. 5(2), pages 1-24, September.
    2. Kara E. Rudolph & Iván Díaz, 2022. "When the ends do not justify the means: Learning who is predicted to have harmful indirect effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 573-589, December.
    3. Cai Xiaoxuan & Loh Wen Wei & Crawford Forrest W., 2021. "Identification of causal intervention effects under contagion," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 9-38, January.
    4. Shuxi Zeng & Elizabeth C. Lange & Elizabeth A. Archie & Fernando A. Campos & Susan C. Alberts & Fan Li, 2023. "A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 197-218, June.
    5. Evan Munro & David Jones & Jennifer Brennan & Roland Nelet & Vahab Mirrokni & Jean Pouget-Abadie, 2023. "Causal Estimation of User Learning in Personalized Systems," Papers 2306.00485, arXiv.org.
    6. Kara E. Rudolph & Jonathan Levy & Mark J. van der Laan, 2021. "Transporting stochastic direct and indirect effects to new populations," Biometrics, The International Biometric Society, vol. 77(1), pages 197-211, March.
    7. Park Soojin & Kang Suyeon & Ma Shujie & Lee Chioun, 2023. "Sensitivity analysis for causal decomposition analysis: Assessing robustness toward omitted variable bias," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-23, January.
    8. Maarten J. Bijlsma & Ben Wilson, 2017. "Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula," MPIDR Working Papers WP-2017-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    9. Jessica Nisén & Maarten J. Bijlsma & Pekka Martikainen & Ben Wilson & Mikko Myrskylä, 2019. "The gendered impacts of delayed parenthood on educational and labor market outcomes: a dynamic analysis of population-level effects over young adulthood," MPIDR Working Papers WP-2019-017, Max Planck Institute for Demographic Research, Rostock, Germany.
    10. Alessandro Magrini, 2022. "Mediation analysis in recursive systems of distributed-lag linear regressions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1535-1555, June.
    11. Bijlsma, Maarten J. & Tarkiainen, Lasse & Myrskylä, Mikko & Martikainen, Pekka, 2017. "Unemployment and subsequent depression: A mediation analysis using the parametric G-formula," Social Science & Medicine, Elsevier, vol. 194(C), pages 142-150.
    12. David G. Lugo‐Palacios & Jonathan M. Clarke & Søren Rud Kristensen, 2023. "Back to basics: A mediation analysis approach to addressing the fundamental questions of integrated care evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2080-2097, September.
    13. Mats J. Stensrud & Jessica G. Young & Torben Martinussen, 2021. "Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang," Biometrics, The International Biometric Society, vol. 77(4), pages 1160-1164, December.
    14. Cheng Lin & Adel Daoud & Maria Branden, 2022. "To What Extent Do Disadvantaged Neighborhoods Mediate Social Assistance Dependency? Evidence from Sweden," Papers 2206.04773, arXiv.org, revised Aug 2022.
    15. Annabelle Bédard & Zhen Li & Wassila Ait-hadad & Carlos A. Camargo & Bénédicte Leynaert & Christophe Pison & Orianne Dumas & Raphaëlle Varraso, 2021. "The Role of Nutritional Factors in Asthma: Challenges and Opportunities for Epidemiological Research," IJERPH, MDPI, vol. 18(6), pages 1-20, March.
    16. Wen Wei Loh & Beatrijs Moerkerke & Tom Loeys & Stijn Vansteelandt, 2022. "Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown," Biometrics, The International Biometric Society, vol. 78(1), pages 46-59, March.
    17. Bijlsma, Maarten J. & Wilson, Ben, 2020. "Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula," LSE Research Online Documents on Economics 102414, London School of Economics and Political Science, LSE Library.
    18. McKetta, Sarah & Prins, Seth J. & Hasin, Deborah & Patrick, Megan E. & Keyes, Katherine M., 2022. "Structural sexism and Women's alcohol use in the United States, 1988–2016," Social Science & Medicine, Elsevier, vol. 301(C).
    19. Maarten J. Bijlsma & Ben Wilson, 2020. "Modelling the socio‐economic determinants of fertility: a mediation analysis using the parametric g‐formula," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 493-513, February.

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