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multi-armed bandit Gittins index response adaptive procedures normally distributed endpoint sequential sampling patient allocation

The Gittins index provides a well established, computationally attractive, optimal solution to a class of resource allocation problems known collectively as the multi-arm bandit problem. Its development was originally motivated...

Bayesian adaptive designs Clinical Trials Gittins index multi-armed bandit Sequential allocation Algorithms Bayes Theorem Biometry Computer Simulation Humans Inflammatory Breast Neoplasms Models Statistical Randomized Controlled Trials as Topic

Multi-armed bandit problems (MABPs) are a special type of optimal control problem well suited to model resource allocation under uncertainty in a wide variety of contexts. Since the first publication of the optimal solution of...

Gittins index multi-armed bandit Whittle index patient allocation response adaptive procedures

We propose a novel response-adaptive randomization procedure for multi-armed trials with continuous outcomes that are assumed to be normally distributed. Our proposed rule is non-myopic, and oriented toward a patient benefit...

Gittins index adaptive designs continuous endpoint dichotomization missing data unknown variance Adaptive Clinical Trials as Topic Algorithms Biometry Clinical Trials Phase II as Topic Computer Simulation Endpoint Determination Humans Models Statistical Neoplasms Patient Dropouts Randomized Controlled Trials as Topic Treatment Outcome

Gittins index Heuristics patient benefit-led trial designs Whittle index