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Journal of the American Statistical Association Volume 115, 2020 - Issue 531
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Theory and Methods

Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes

Gabrielle SimoneauDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-9310-6274View further author information
ORCID Icon,
Erica E. M. MoodieDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada; ORCID Iconhttp://orcid.org/0000-0002-7225-3977View further author information
ORCID Icon,
Jagtar S. NijjarDepartment of Medicine, University of Cambridge, Cambridge, UKView further author information
,
Robert W. PlattDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada; ORCID Iconhttp://orcid.org/0000-0002-5981-8443View further author information
ORCID Icon &
the Scottish Early Rheumatoid Arthritis Inception Cohort InvestigatorsView further author information
Pages 1531-1539 | Received 17 Aug 2018, Accepted 22 May 2019, Published online: 22 Jul 2019

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Yu Zhou, Lan Wang, Rui Song & Tuoyi Zhao. (2023) Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes. Journal of the American Statistical Association 118:544, pages 2632-2644.
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Fei Xue, Yanqing Zhang, Wenzhuo Zhou, Haoda Fu & Annie Qu. (2022) Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data. Journal of the American Statistical Association 117:539, pages 1438-1451.
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Juliana Schulz & Erica E. M. Moodie. (2021) Doubly Robust Estimation of Optimal Dosing Strategies. Journal of the American Statistical Association 116:533, pages 256-268.
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Articles from other publishers (24)

Xuechen Wang, Hyejung Lee, Benjamin Haaland, Kathleen Kerrigan, Sonam Puri, Wallace Akerley & Jincheng Shen. (2024) A matching-based machine learning approach to estimating optimal dynamic treatment regimes with time-to-event outcomes. Statistical Methods in Medical Research 33:5, pages 794-806.
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Cong Jiang, Mary Thompson & Michael Wallace. (2024) Estimating dynamic treatment regimes for ordinal outcomes with household interference: Application in household smoking cessation. Statistical Methods in Medical Research.
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Jeongjin Lee & Jong-Min Kim. (2024) Personalized Treatment Policies with the Novel Buckley-James Q-Learning Algorithm. Axioms 13:4, pages 212.
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Grace Rhodes, Marie Davidian & Wenbin Lu. (2024) Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator. Biostatistics.
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Xiao Li, Brent R. Logan, S. M. Ferdous Hossain & Erica E. M. Moodie. (2023) Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes. Lifetime Data Analysis 30:1, pages 181-212.
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Lingyun Lyu, Yu Cheng & Abdus S. Wahed. (2023) Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome. Biometrics 79:4, pages 3676-3689.
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Erica E. M. Moodie & Denis Talbot. (2023) On “Reflections on the concept of optimality of single decision point treatment regimes”. Biometrical Journal 65:8.
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Jenny Shen, Rebecca A. Hubbard & Kristin A. Linn. (2023) Estimation and evaluation of individualized treatment rules following multiple imputation. Statistics in Medicine 42:23, pages 4236-4256.
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Larry Dong, Erica E. M. Moodie, Laura Villain & Rodolphe Thiébaut. (2023) Evaluating the use of generalized dynamic weighted ordinary least squares for individualized HIV treatment strategies. The Annals of Applied Statistics 17:3.
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Weichang Yu & Howard D Bondell. (2023) Bayesian likelihood-based regression for estimation of optimal dynamic treatment regimes. Journal of the Royal Statistical Society Series B: Statistical Methodology 85:3, pages 551-574.
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Cong Jiang, Michael P. Wallace & Mary E. Thompson. (2022) Dynamic treatment regimes with interference. Canadian Journal of Statistics 51:2, pages 469-502.
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Hunyong Cho, Shannon T Holloway, David J Couper & Michael R Kosorok. (2023) Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring. Biometrika 110:2, pages 395-410.
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Taehwa Choi, Hyunjun Lee & Sangbum Choi. (2023) Accountable survival contrast-learning for optimal dynamic treatment regimes. Scientific Reports 13:1.
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Denis Talbot, Erica E.M. Moodie & Caroline Diorio. (2022) Double robust estimation of optimal partially adaptive treatment strategies: An application to breast cancer treatment using hormonal therapy. Statistics in Medicine 42:2, pages 178-192.
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Hongwei Wang, Dai Feng & Yingyi Liu. 2023. Real-World Evidence in Medical Product Development. Real-World Evidence in Medical Product Development 289 320 .
Guoqing Diao, Haijun Ma, Donglin Zeng, Chunlei Ke & Joseph G. Ibrahim. (2022) Synthesizing studies for comparing different treatment sequences in clinical trials. Statistics in Medicine 41:25, pages 5134-5149.
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Zhang Zhang, Danhui Yi & Yiwei Fan. (2022) Doubly robust estimation of optimal dynamic treatment regimes with multicategory treatments and survival outcomes. Statistics in Medicine 41:24, pages 4903-4923.
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Erica E. M. Moodie, Janie Coulombe, Coraline Danieli, Christel Renoux & Susan M. Shortreed. (2022) Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes. Lifetime Data Analysis 28:3, pages 512-542.
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Yuexin Fang, Baqun Zhang & Min Zhang. (2021) Robust method for optimal treatment decision making based on survival data. Statistics in Medicine 40:29, pages 6558-6576.
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Janie Coulombe, Erica E M Moodie, Susan M Shortreed & Christel Renoux. (2021) Can the Risk of Severe Depression-Related Outcomes Be Reduced by Tailoring the Antidepressant Therapy to Patient Characteristics?. American Journal of Epidemiology 190:7, pages 1210-1219.
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Alexander C. McLain, Siyuan Guo, Marie Thoma & Jiajia Zhang. (2021) Length-biased semicompeting risks models for cross-sectional data: An application to current duration of pregnancy attempt data. The Annals of Applied Statistics 15:2.
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Robert K. Mahar, Myra B. McGuinness, Bibhas Chakraborty, John B. Carlin, Maarten J. IJzerman & Julie A. Simpson. (2021) A scoping review of studies using observational data to optimise dynamic treatment regimens. BMC Medical Research Methodology 21:1.
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Gabrielle Simoneau, Erica E M Moodie, Laurent Azoulay & Robert W Platt. (2020) Adaptive Treatment Strategies With Survival Outcomes: An Application to the Treatment of Type 2 Diabetes Using a Large Observational Database. American Journal of Epidemiology 189:5, pages 461-469.
Crossref
Ying‐Qi Zhao, Ruoqing Zhu, Guanhua Chen & Yingye Zheng. (2020) Constructing dynamic treatment regimes with shared parameters for censored data. Statistics in Medicine 39:9, pages 1250-1263.
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