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Exact confidence limits for the probability of response in two-stage designs

机译:两阶段设计中响应概率的确切置信度限制

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In addition to point estimate for the probability of response in a two-stage design (e.g. Simon's two-stage design for binary endpoints), confidence limits should be computed and reported. The current method of inverting the p-value function to compute the confidence interval does not guarantee coverage probability in a two-stage setting. The existing exact approach to calculate one-sided limits is based on the overall number of responses to order the sample space.This approach could be conservative because many sample points have the same limits. We propose a new exact one-sided interval based on p-value for the sample space ordering. Exact intervals are computed by using binomial distributions directly, instead of a normal approximation. Both exact intervals preserve the nominal confidence level. The proposed exact interval based on the p-value generally performs better than the other exact interval with regard to expected length and simple average length of confidence intervals.
机译:除了两阶段设计(例如,西蒙针对二进制端点的两阶段设计)中的响应概率的点估计外,还应该计算并报告置信度限制。反转p值函数以计算置信区间的当前方法不能保证两阶段设置中的覆盖概率。现有的精确计算单边极限的方法是基于对样本空间进行排序的总响应数,由于许多采样点具有相同的极限,因此这种方法可能很保守。我们为样本空间排序提出了一个基于p值的新的精确单边间隔。精确间隔是通过直接使用二项式分布而不是正态近似来计算的。两个精确的间隔都保留了标称置信度。就预期长度和简单的置信区间的平均长度而言,基于p值的建议精确区间通常要比其他精确区间更好。

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