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A new 'biased coin design' for the sequential allocation of two treatments
Authors:Alessandro Baldi Antognini   Alessandra Giovagnoli
Affiliation:University of Bologna, Italy
Abstract:
Summary.  Efron's biased coin design is a well-known randomization technique that helps to neutralize selection bias in sequential clinical trials for comparing treatments, while keeping the experiment fairly balanced. Extensions of the biased coin design have been proposed by several researchers who have focused mainly on the large sample properties of their designs. We modify Efron's procedure by introducing an adjustable biased coin design, which is more flexible than his. We compare it with other existing coin designs; in terms of balance and lack of predictability, its performance for small samples appears in many cases to be an improvement with respect to the other sequential randomized allocation procedures.
Keywords:Balance    Biased coin design    Markov chains    Selection bias    Treatment comparison
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