Adaptive two-stage designs in phase II clinical trials
Adaptive two-stage designs in phase II clinical trials
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DOI：
10.1002/sim.2501
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发表时间：
2006-10-15
影响因子：
2
通讯作者：
Tsiatis, Anastasios A.
中科院分区：
文献类型：
--
作者：
Banerjee, Anindita;Tsiatis, Anastasios A.
Two-stage designs have been widely used in phase II clinical trials. Such designs are desirable because they allow a decision to be made on whether a treatment is effective or not after the accumulation of the data at the end of each stage. Optimal fixed two-stage designs, where the sample size at each stage is fixed in advance, were proposed by Simon when the primary outcome is a binary response. This paper proposes an adaptive two-stage design which allows the sample size at the second stage to depend on the results at the first stage. Using a Bayesian decision-theoretic construct, we derive optimal adaptive two-stage designs; the optimality criterion being minimum expected sample size under the null hypothesis. Comparisons are made between Simon's two-stage fixed design and the new design with respect to this optimality criterion. Copyright (c) 2006 John Wiley & Sons, Ltd.
