Bayesian bandits in clinical trials

DOI10.1080/07474949208836263zbMath0764.62066OpenAlexW1581900797MaRDI QIDQ4036031

You-Gan Wang, J. C. Gittins

Publication date: 16 May 1993

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474949208836263

zbMATH Keywords

error boundssimulation resultstwo-armed bandit problemGittins indexbinary responsesadaptive allocationdynamic allocation indicesplay-the-winner ruleoptimal allocation rulegeometric discountingpatient horizonbackward induction processBayesian bandit processestotal expected number of successes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical design (62L05)

Related Items (2)

One-armed bandit process with a covariate ⋮ Bias reduction via resampling for estimation following sequential tests

Cites Work

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• Bernoulli one-armed bandits - Arbitrary discount sequences
• Sequential allocation in clinical trials
• On the Allocation of Treatments in Sequential Medical Trials
• The Search for Optimality in Clinical Trials
• A class of simple approximate sequential tests for adaptive comparison of two treatments
• The importance of the patient horizon in the sequential analysis of binomial clinical trials

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