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Response-adaptive randomization for multi-arm clinical trials using the forward looking Gittins index rule.
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...
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Multi-armed Bandit Models for the Optimal Design of Clinical Trials
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...
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