Abstract
We generalize allocation rules of response-adaptive randomization designs for binary responses into three classes, covering many existing designs such as urn models and the optimal designs. The choice of the design parameters is discussed. The asymptotic variance of the allocation proportions of these designs is also derived. These designs are compared theoretically and numerically.
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