Optimal individualized dosing strategies: A pharmacologic approach to developing dynamic treatment regimens for continuous-valued treatments

DOI10.1002/bimj.201400244zbMath1386.62062OpenAlexW2107964785WikidataQ40355800 ScholiaQ40355800MaRDI QIDQ2806836

Erica E. M. Moodie, Benjamin Rich, David A. Stephens

Publication date: 19 May 2016

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201400244

zbMATH Keywords

G-estimationdynamic treatment regimensadaptive individualized dosinganticoagulation therapycontinuous dosesdesign of sequential trials

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items

Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes, Doubly Robust Estimation of Optimal Dosing Strategies

Cites Work

• Statistical methods for dynamic treatment regimes. Reinforcement learning, causal inference, and personalized medicine
• Proceedings of the second Seattle symposium in biostatistics. Analysis of correlated data, Seattle, WA, USA, November 20--21, 2000.
• Identifying the consequences of dynamic treatment strategies: a decision-theoretic overview
• G-Estimation and Artificial Censoring: Problems, Challenges, and Applications
• Dose-response relationship from longitudinal data with response-dependent dose modification using likelihood methods
• Regret-Regression for Optimal Dynamic Treatment Regimes
• Estimating Optimal Dynamic Regimes: Correcting Bias under the Null
• A note on the variance of doubly-robust G-estimators
• Optimal Dynamic Treatment Regimes
• Demystifying Optimal Dynamic Treatment Regimes