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Controlled Direct and Mediated Effects: Definition, Identification and Bounds

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  • TYLER J. VANDERWEELE

Abstract

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  • Tyler J. Vanderweele, 2011. "Controlled Direct and Mediated Effects: Definition, Identification and Bounds," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 38(3), pages 551-563, September.
    • Handle: RePEc:bla:scjsta:v:38:y:2011:i:3:p:551-563
    DOI: j.1467-9469.2010.00722.x
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    Citations

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    Cited by:

    1. Ryan M. Andrews & Ilya Shpitser & Oscar Lopez & William T. Longstreth & Paulo H. M. Chaves & Lewis Kuller & Michelle C. Carlson, 2020. "Examining the causal mediating role of brain pathology on the relationship between diabetes and cognitive impairment: the Cardiovascular Health Study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1705-1726, October.
    2. Acharya, Avidit & Blackwell, Matthew & Sen, Maya, 2016. "Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects," American Political Science Review, Cambridge University Press, vol. 110(3), pages 512-529, August.
    3. 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.
    4. 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.
    5. Manabu Kuroki, 2016. "The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 228-245, March.
    6. Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small, 2020. "A Negative Correlation Strategy for Bracketing in Difference-in-Differences," Papers 2006.02423, arXiv.org, revised Jun 2022.
    7. 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.
    8. Qi Zhang, 2022. "High-Dimensional Mediation Analysis with Applications to Causal Gene Identification," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(3), pages 432-451, December.
    9. Marziali, Megan E. & Prins, Seth J. & Gutkind, Sarah & Martins, Silvia S., 2024. "Partner incarceration, maternal substance use, and the mediating role of social support: A longitudinal analysis using the future of families and child wellbeing study," Social Science & Medicine, Elsevier, vol. 349(C).

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