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Population Intervention Causal Effects Based on Stochastic Interventions

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  • Iván Díaz Muñoz
  • Mark van der Laan

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  • Iván Díaz Muñoz & Mark van der Laan, 2012. "Population Intervention Causal Effects Based on Stochastic Interventions," Biometrics, The International Biometric Society, vol. 68(2), pages 541-549, June.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:2:p:541-549
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01685.x
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    References listed on IDEAS

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    1. Cain Lauren E. & Robins James M. & Lanoy Emilie & Logan Roger & Costagliola Dominique & Hernán Miguel A., 2010. "When to Start Treatment? A Systematic Approach to the Comparison of Dynamic Regimes Using Observational Data," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-26, April.
    2. van der Laan Mark J. & Rubin Daniel, 2006. "Targeted Maximum Likelihood Learning," The International Journal of Biostatistics, De Gruyter, vol. 2(1), pages 1-40, December.
    3. Díaz Muñoz Iván & van der Laan Mark J., 2011. "Super Learner Based Conditional Density Estimation with Application to Marginal Structural Models," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-20, October.
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    Citations

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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. Lan Wen & Jessica G. Young & James M. Robins & Miguel A. Hernán, 2021. "Parametric g‐formula implementations for causal survival analyses," Biometrics, The International Biometric Society, vol. 77(2), pages 740-753, June.
    3. Hannah H Leslie & Deborah A Karasek & Laura F Harris & Emily Chang & Naila Abdulrahim & May Maloba & Megan J Huchko, 2014. "Cervical Cancer Precursors and Hormonal Contraceptive Use in HIV-Positive Women: Application of a Causal Model and Semi-Parametric Estimation Methods," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.
    4. Noémi Kreif & Oleg Sofrygin & Julie A. Schmittdiel & Alyce S. Adams & Richard W. Grant & Zheng Zhu & Mark J. van der Laan & Romain Neugebauer, 2021. "Exploiting nonsystematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies," Biometrics, The International Biometric Society, vol. 77(1), pages 329-342, March.
    5. Georgia Papadogeorgou & Kosuke Imai & Jason Lyall & Fan Li, 2022. "Causal inference with spatio‐temporal data: Estimating the effects of airstrikes on insurgent violence in Iraq," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1969-1999, November.
    6. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    7. Nima S. Hejazi & Mark J. van der Laan & Holly E. Janes & Peter B. Gilbert & David C. Benkeser, 2021. "Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials," Biometrics, The International Biometric Society, vol. 77(4), pages 1241-1253, December.
    8. Alexander P. Keil & Katie M. O’Brien, 2024. "Considerations and Targeted Approaches to Identifying Bad Actors in Exposure Mixtures," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 459-481, July.
    9. Masahiro Kato & Masatoshi Uehara & Shota Yasui, 2020. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift," Papers 2002.11642, arXiv.org, revised Oct 2020.
    10. Jacqueline A. Mauro & Edward H. Kennedy & Daniel Nagin, 2020. "Instrumental variable methods using dynamic interventions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1523-1551, October.
    11. Stijn Vansteelandt & Oliver Dukes, 2022. "Assumption‐lean inference for generalised linear model parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 657-685, July.
    12. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.

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