Optimal adaptive designs for binary response trials
Optimal adaptive designs for binary response trials
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DOI：
10.1111/j.0006-341x.2001.00909.x
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发表时间：
2001-09-01
期刊：
影响因子：
1.9
通讯作者：
Ricks, ML
中科院分区：
文献类型：
--
作者：
Rosenberger, WF;Stallard, N;Ricks, ML
我们根据以下最优性标准推导出临床试验中两种治疗之间的最优分配：对于检验统计量的固定方差，什么样的分配使预期的治疗失败次数最小化？一个顺序的设计，导致渐近的最优分配，并与随机播放的赢家规则，顺序奈曼分配，并在类似的功率水平平等分配进行比较。我们发现，顺序程序通常会导致较少的治疗失败比其他程序，特别是当成功的治疗概率较小。
We derive the optimal allocation between two treatments in a clinical trial based on the following optimality criterion: for fixed variance of the test statistic, what allocation minimizes the expected number of treatment failures? A sequential design is described that leads asymptotically to the optimal allocation and is compared with the randomized play-the-winner rule, sequential Neyman allocation, and equal allocation at similar power levels. We find that the sequential procedure generally results in fewer treatment failures than the other procedures, particularly when the success probabilities of treatments are smaller.