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连续结局序贯平行比较设计的功效计算。

Power calculations for the sequential parallel comparison design with continuous outcomes.

机构信息

Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

出版信息

J Biopharm Stat. 2020 Nov 1;30(6):1121-1129. doi: 10.1080/10543406.2020.1818252. Epub 2020 Sep 29.

Abstract

In the sequential parallel comparison design (SPCD) in stage 1, placebo subjects are randomized between placebo and an experimental therapy. In stage 2, stage 1 placebo non-responders are re-randomized between placebo and an experimental therapy. We give the formula for power/sample size calculations for two test statistics for the SPCD. The first one omits the correlation between the estimated treatment effects from the two stages, and the second one does not. We discuss how to construct a confidence interval for the weighted average of the treatment effects that has proper coverage.

摘要

在第一阶段的序贯平行比较设计 (SPCD) 中,安慰剂受试者在安慰剂和实验治疗之间随机分组。在第二阶段,第一阶段安慰剂无反应者在安慰剂和实验治疗之间重新随机分组。我们给出了 SPCD 中两个检验统计量的功效/样本量计算公式。第一个公式忽略了两个阶段估计治疗效果之间的相关性,第二个则没有。我们讨论了如何构建具有适当覆盖范围的治疗效果加权平均值的置信区间。

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