A novel approach to assess dynamic treatment regimes embedded in a SMART with an ordinal outcome
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Publication:6617460
DOI10.1002/sim.9659zbMATH Open1545.62327MaRDI QIDQ6617460
Bibhas Chakraborty, Palash Ghosh, Xiaoxi Yan
Publication date: 11 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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- SMARTp: A SMART design for non-surgical treatments of chronic periodontitis with spatially-referenced and non-randomly missing skewed outcomes
- Interpretable Dynamic Treatment Regimes
- Sample size formulae for two-stage randomized trials with survival outcomes
- Generalized Odds Ratios for Ordinal Data
- Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Optimal Dynamic Treatment Regimes
- Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer
- Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials
- Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning
- Doubly robust learning for estimating individualized treatment with censored data
- Inference for non-regular parameters in optimal dynamic treatment regimes
- Optimal Structural Nested Models for Optimal Sequential Decisions
- New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
- Measures of Association for Cross Classifications
- Sample size calculation based on precision for pilot sequential multiple assignment randomized trial (SMART)
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