Optimal dynamic treatment regimes with survival endpoints: introducing DWSurv in the R package DTRreg
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Publication:5033454
DOI10.1080/00949655.2020.1793341OpenAlexW3043510099MaRDI QIDQ5033454
Gabrielle Simoneau, Robert W. Platt, Michael P. Wallace, Erica E. M. Moodie
Publication date: 23 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1793341
censored datacausal inferenceaccelerated failure timeprecision medicinedynamic weighted ordinary least squaresdynamic weighted survival modeling
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Uses Software
Cites Work
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- Q-learning with censored data
- Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective
- Doubly-robust dynamic treatment regimen estimation via weighted least squares
- Interactive model building for Q-learning
- Optimal Dynamic Treatment Regimes
- Balancing Covariates via Propensity Score Weighting
- 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
- Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions