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Natural Direct and Indirect Effects on the Exposed: Effect Decomposition under Weaker Assumptions

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  • Stijn Vansteelandt
  • Tyler J. VanderWeele

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  • Stijn Vansteelandt & Tyler J. VanderWeele, 2012. "Natural Direct and Indirect Effects on the Exposed: Effect Decomposition under Weaker Assumptions," Biometrics, The International Biometric Society, vol. 68(4), pages 1019-1027, December.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:4:p:1019-1027
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01777.x
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    References listed on IDEAS

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    1. van der Laan Mark J. & Petersen Maya L, 2008. "Direct Effect Models," The International Journal of Biostatistics, De Gruyter, vol. 4(1), pages 1-27, October.
    2. Michael Rosenblum & Nicholas P. Jewell & Mark van der Laan & Stephen Shiboski & Ariane van der Straten & Nancy Padian, 2009. "Analysing direct effects in randomized trials with secondary interventions: an application to human immunodeficiency virus prevention trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 443-465, April.
    3. Kotelchuck, M., 1994. "An evaluation of the Kessner Adequacy of Prenatal Care Index and a proposed Adequacy of Prenatal Care Utilization Index," American Journal of Public Health, American Public Health Association, vol. 84(9), pages 1414-1420.
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    Cited by:

    1. Iván Díaz & Nima S. Hejazi, 2020. "Causal mediation analysis for stochastic interventions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 661-683, July.
    2. Giovanni Mellace & Alessandra Pasquini, 2022. "Mediation Analysis Synthetic Control," Temi di discussione (Economic working papers) 1389, Bank of Italy, Economic Research and International Relations Area.
    3. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    4. Soojin Park & Kevin M. Esterling, 2021. "Sensitivity Analysis for Pretreatment Confounding With Multiple Mediators," Journal of Educational and Behavioral Statistics, , vol. 46(1), pages 85-108, February.
    5. 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.
    6. Giovanni Mellace & Alessandra Pasquini, 2019. "Identify More, Observe Less: Mediation Analysis Synthetic Control," CEIS Research Paper 474, Tor Vergata University, CEIS, revised 20 Nov 2019.
    7. Mellace, Giovanni & Pasquini, Alessandra, 2019. "Identify More, Observe Less: Mediation Analysis: Mediation Analysis Synthetic Control," Discussion Papers on Economics 12/2019, University of Southern Denmark, Department of Economics.

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