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Algorithms for response adaptive sampling designs

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Abstract An experimental design is a formula or algorithm that specifies how resources are to be utilized throughout a study. The design is considered to be good or even optimal if it allows for sufficiently precise and accurate data analysis with the least output of resources such as time, money and experimental units. Most experimental designs use fixed sampling procedures in which the sample sizes and order of allocations to different study groups are known in advance. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Sampling

Dynamic programming to optimize two‐armed bandit.

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Representation of an optimal three‐stage design.

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Number of states as a function of number of arms and experiment size n.

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