Optimal dynamic treatment regimes with survival endpoints: introducing DWSurv in the R package DTRreg

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

zbMATH Keywords

censored datacausal inferenceaccelerated failure timeprecision medicinedynamic weighted ordinary least squaresdynamic weighted survival modeling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes, DTRreg

Uses Software

• Matlab
• R
• qLearn
• iqLearn
• DynTxRegime
• nhanes

Cites Work

• Unnamed Item
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• New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
• Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions