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EFFICIENT RANDOMIZED-ADAPTIVE DESIGNS

delete2009-10-01
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OA
AI
F
Feifang Hu *
张立新 (Zhang Li)
X
Xuming He
DOI:10.1214/08-AOS655delete
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Abstract

Abstract

En 中文
Response-adaptive randomization hits recently attracted a lot of attention in the literature. In this paper, we propose a new and simple family of response-adaptive randomization procedures that attain the cramer-Rao lower bounds on the allocation variances for any allocation proportions including optimal allocation proportions. The allocation Probability functions of proposed procedures are discontinuous. The existing large sample theory for adaptive designs relies on Taylor expansions of the allocation probability functions. which do not apply to nondifferentiable cases. In the present paper, we Study stopping times of stochastic processes to establish the asymptotic efficiency results. Furthermore, we demonstrate our proposal through examples, simulations and a discussion on the relationship with earlier works, including Efron's biased coin design.
Keywords:
Response-adaptive designs
biased coin design
clinical trial
urn model
doubly adaptive biased coin design
power
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Annals of Statistics cover
Annals of Statistics
IF:
3.7
Papers:
2.8K
Citations:
2.9W

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U
University of Virginia
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Papers: 2.7W
Citations: 4.1W
University of Illinois System cover
University of Illinois System
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zhejiang university
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