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Marginal Mean Models for Dynamic Regimes

Citations

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Cited by:

  1. Lucia Babino & Andrea Rotnitzky & James Robins, 2019. "Multiple robust estimation of marginal structural mean models for unconstrained outcomes," Biometrics, The International Biometric Society, vol. 75(1), pages 90-99, March.
  2. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
  3. Neugebauer Romain & Schmittdiel Julie A. & van der Laan Mark J., 2016. "A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 131-155, May.
  4. Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
  5. Armando Turchetta & Erica E. M. Moodie & David A. Stephens & Sylvie D. Lambert, 2023. "Bayesian sample size calculations for comparing two strategies in SMART studies," Biometrics, The International Biometric Society, vol. 79(3), pages 2489-2502, September.
  6. Chaffee Paul H. & van der Laan Mark J., 2012. "Targeted Maximum Likelihood Estimation for Dynamic Treatment Regimes in Sequentially Randomized Controlled Trials," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-32, June.
  7. Han, Sukjin, 2021. "Identification in nonparametric models for dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 132-147.
  8. Sun Hao & Ertefaie Ashkan & Lu Xin & Johnson Brent A., 2020. "Improved Doubly Robust Estimation in Marginal Mean Models for Dynamic Regimes," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 300-314, January.
  9. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
  10. Hao Sun & Ashkan Ertefaie & Brent A. Johnson, 2022. "Estimating mean potential outcome under adaptive treatment length strategies in continuous time," Biometrics, The International Biometric Society, vol. 78(4), pages 1503-1514, December.
  11. Matthew Blackwell & Anton Strezhnev, 2022. "Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 377-399, January.
  12. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
  13. Xinyu Tang & Abdus S. Wahed, 2011. "Comparison of treatment regimes with adjustment for auxiliary variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2925-2938, March.
  14. Pedro Picchetti, 2023. "Identification in Endogenous Sequential Treatment Regimes," Papers 2311.18555, arXiv.org.
  15. Hao, Meiling & Su, Pingfan & Hu, Liyuan & Szabo, Zoltan & Zhao, Qianyu & Shi, Chengchun, 2024. "Forward and backward state abstractions for off-policy evaluation," LSE Research Online Documents on Economics 124074, London School of Economics and Political Science, LSE Library.
  16. Nina Zhou & Lu Wang & Daniel Almirall, 2023. "Estimating tree‐based dynamic treatment regimes using observational data with restricted treatment sequences," Biometrics, The International Biometric Society, vol. 79(3), pages 2260-2271, September.
  17. Raphael Fonteneau & Susan Murphy & Louis Wehenkel & Damien Ernst, 2013. "Batch mode reinforcement learning based on the synthesis of artificial trajectories," Annals of Operations Research, Springer, vol. 208(1), pages 383-416, September.
  18. Petersen Maya & Schwab Joshua & Gruber Susan & Blaser Nello & Schomaker Michael & van der Laan Mark, 2014. "Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models," Journal of Causal Inference, De Gruyter, vol. 2(2), pages 147-185, September.
  19. Hamsa Bastani & David Simchi-Levi & Ruihao Zhu, 2022. "Meta Dynamic Pricing: Transfer Learning Across Experiments," Management Science, INFORMS, vol. 68(3), pages 1865-1881, March.
  20. Yasuhiro Hagiwara & Tomohiro Shinozaki & Hirofumi Mukai & Yutaka Matsuyama, 2021. "Sensitivity analysis for subsequent treatments in confirmatory oncology clinical trials: A two‐stage stochastic dynamic treatment regime approach," Biometrics, The International Biometric Society, vol. 77(2), pages 702-714, June.
  21. Anders Bredahl Kock & Martin Thyrsgaard, 2017. "Optimal sequential treatment allocation," Papers 1705.09952, arXiv.org, revised Aug 2018.
  22. Hongming Pu & Bo Zhang, 2021. "Estimating optimal treatment rules with an instrumental variable: A partial identification learning approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(2), pages 318-345, April.
  23. Johnson, Brent A. & Boos, Dennis D., 2005. "A note on the use of kernel functions in weighted estimators," Statistics & Probability Letters, Elsevier, vol. 72(4), pages 345-355, May.
  24. Yuqian Zhang & Weijie Ji & Jelena Bradic, 2021. "Dynamic treatment effects: high-dimensional inference under model misspecification," Papers 2111.06818, arXiv.org, revised Jan 2025.
  25. Xiaofei Chen & Daniel F. Heitjan & Gerald Greil & Haekyung Jeon‐Slaughter, 2021. "Estimating the optimal timing of surgery from observational data," Biometrics, The International Biometric Society, vol. 77(2), pages 729-739, June.
  26. Yiwang Zhou & Peter X.K. Song & Haoda Fu, 2021. "Net benefit index: Assessing the influence of a biomarker for individualized treatment rules," Biometrics, The International Biometric Society, vol. 77(4), pages 1254-1264, December.
  27. Ashesh Rambachan & Neil Shephard, 2019. "When do common time series estimands have nonparametric causal meaning?," Papers 1903.01637, arXiv.org, revised Jan 2025.
  28. Orellana Liliana & Rotnitzky Andrea & Robins James M., 2010. "Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-49, March.
  29. Shuxiao Chen & Bo Zhang, 2021. "Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable," Papers 2104.07822, arXiv.org.
  30. Fengying Li & Yuqiang Li & Xianyi Wu, 2024. "Minimax weight learning for absorbing MDPs," Statistical Papers, Springer, vol. 65(6), pages 3545-3582, August.
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