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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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.

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