临床试验的析因设计:联合治疗研究的选择。

David J Couper, James D Hosking, Ron A Cisler, David R Gastfriend, Daniel R Kivlahan
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引用次数: 18

摘要

目的:本研究回顾了在研究联合治疗的临床试验中使用的析因设计。方法:当(1)因素被认为是独立的或(2)因素被认为是互补的,并且特定的目的是调查这些相互作用时,可以使用析因设计。我们描述了阶乘设计的含义以及在使用这种设计时需要解决的问题。我们从总体上讨论了这些问题,并描述了在各种预防试验和联合研究中如何解决这些问题,联合研究是一项针对酒精依赖的联合治疗试验。结果:(1)型试验可以在同一组参与者中进行多个不相关的预防研究,从而节省大量成本。这样的析因试验除了标准的平行组试验之外,几乎没有设计上的挑战。(2)型试验需要考虑因子设计固有的方面。结论:析因设计是检查联合治疗效果的有效方法,但在确定适当的样本量以及进行中期和最终统计分析时,它提出了需要解决的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factorial designs in clinical trials: options for combination treatment studies.

Objective: This study reviews the use of factorial designs in clinical trials investigating combinations of therapies.

Method: Factorial designs may be used when (1) the factors are regarded as being independent or (2) the factors are thought to be complementary and a specific aim is to investigate these interactions. We describe what is meant by a factorial design and the issues that need to be addressed when using such a design. We discuss these issues in general and describe how they have been addressed in various prevention trials and in the COMBINE Study, which is a treatment trial of combinations of therapies for alcohol dependence.

Results: Trials of type (1) can provide substantial cost savings in conducting multiple unrelated prevention studies in the same group of participants. Such a factorial trial poses few design challenges beyond those of a standard parallel group trial. Trials of type (2) require consideration of aspects that are intrinsic to the factorial design.

Conclusions: A factorial design is a useful way to examine the effects of combinations of therapies, but it poses challenges that need to be addressed in determining the appropriate sample size and in conducting interim and final statistical analyses.

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