Rejoinder of ``Dynamic treatment regimes: technical challenges and applications

DOI10.1214/14-EJS920REJzbMath1309.62174OpenAlexW2000366201WikidataQ57423796 ScholiaQ57423796MaRDI QIDQ405352

William E. Pelham, Daniel J. Lizotte, Eric B. Laber, Min Qian, Susan A. Murphy

Publication date: 5 September 2014

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1408540288

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (1)

Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

Cites Work

• \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes
• Performance guarantees for individualized treatment rules
• DC programming: overview.
• Introduction to empirical processes and semiparametric inference
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning
• A Robust Method for Estimating Optimal Treatment Regimes
• Set‐valued dynamic treatment regimes for competing outcomes
• Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
• Convexity, Classification, and Risk Bounds

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