Data-dependent allocation rules a comparative study of some for bernoulli data

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Abstract
A clinical trial setting is considered in which two treatments are available for a particular ailment. The response to treatment is Bernoulli with “success” or “failure” as the outcome. Several allocation rules which are designed to reduce the number of patients who receive the inferior treatment are compared with random allocation using simulation. Particular attention is paid to the bias and variance for estimation of the true treatment difference. The effect of time trends in the data is examined.

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