Optimal adaptive allocation using deep reinforcement learning in a dose-response study

DOI10.1002/sim.9247zbMath1547.62364MaRDI QIDQ6626773

Takashi Sozu, Junya Honda, Kentaro Sakamaki, Kentaro Matsuura, Imad El Hanafi

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

clinical trialoptimal designadaptive designdose-findingdose-rangingresponse-adaptive

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Response-adaptive dose-finding under model uncertainty
• Optimal Designs for Dose-Finding Studies
• Group Sequential Clinical Trials: A Classical Evaluation of Bayesian Decision-Theoretic Designs
• Dose Finding – A Challenge in Statistics
• BMA‐Mod: A Bayesian model averaging strategy for determining dose‐response relationships in the presence of model uncertainty
• Combining Multiple Comparisons and Modeling Techniques in Dose‐Response Studies

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