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采用序贯平行比较设计进行样本量重新估计及其他中期调整。

Sample size re-estimation and other midcourse adjustments with sequential parallel comparison design.

作者信息

Silverman Rachel K, Ivanova Anastasia

机构信息

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

出版信息

J Biopharm Stat. 2017;27(3):416-425. doi: 10.1080/10543406.2017.1289951. Epub 2017 Feb 6.

Abstract

Sequential parallel comparison design (SPCD) was proposed to reduce placebo response in a randomized trial with placebo comparator. Subjects are randomized between placebo and drug in stage 1 of the trial, and then, placebo non-responders are re-randomized in stage 2. Efficacy analysis includes all data from stage 1 and all placebo non-responding subjects from stage 2. This article investigates the possibility to re-estimate the sample size and adjust the design parameters, allocation proportion to placebo in stage 1 of SPCD, and weight of stage 1 data in the overall efficacy test statistic during an interim analysis.

摘要

序贯平行比较设计(SPCD)旨在减少在有安慰剂对照的随机试验中的安慰剂反应。在试验的第一阶段,受试者被随机分配到安慰剂组和药物组,然后,在第二阶段对安慰剂无反应者进行重新随机分组。疗效分析包括来自第一阶段的所有数据以及来自第二阶段所有对安慰剂无反应的受试者的数据。本文探讨了在期中分析期间重新估计样本量、调整设计参数、SPCD第一阶段中安慰剂的分配比例以及总体疗效检验统计量中第一阶段数据权重的可能性。

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