Response-adaptive designs for clinical trials: simultaneous learning from multiple patients

DOI10.1016/j.ejor.2015.06.077zbMath1346.90528OpenAlexW3121380969MaRDI QIDQ320737

John R. Birge, Vishal Ahuja

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.06.077

zbMATH Keywords

Bayesian learningMarkov decision processOR in health servicesadaptive clinical trialsstents

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Case-oriented studies in operations research (90B90) Markov and semi-Markov decision processes (90C40)

Related Items (4)

Dynamic Programs with Shared Resources and Signals: Dynamic Fluid Policies and Asymptotic Optimality ⋮ Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials ⋮ Bayesian learning of dose-response parameters from a cohort under response-guided dosing ⋮ An Approximation Approach for Response-Adaptive Clinical Trial Design

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Asymptotically efficient adaptive allocation rules
• On convergence of posterior distributions
• Optimal adaptive policies for sequential allocation problems
• New adaptive designs for delayed response models
• Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms
• Dynamic Pricing with a Prior on Market Response
• A Partially Observed Markov Decision Process for Dynamic Pricing
• Dynamic Assortment with Demand Learning for Seasonal Consumer Goods
• A Learning Approach for Interactive Marketing to a Customer Segment
• The Multi-Armed Bandit Problem: Decomposition and Computation
• Interim Analysis in Clinical Trials: The Role of the Likelihood Principle
• A Structured Multiarmed Bandit Problem and the Greedy Policy
• Optimal adaptive randomized designs for clinical trials
• Some aspects of the sequential design of experiments
• Finite-time analysis of the multiarmed bandit problem

This page was built for publication: Response-adaptive designs for clinical trials: simultaneous learning from multiple patients