交叉试验中的行为延续效应和功率考虑。

IF 1.4 4区 数学 Q3 BIOLOGY
Biometrics Pub Date : 2024-03-27 DOI:10.1093/biomtc/ujae023
Danni Shi, Ting Ye
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引用次数: 0

摘要

交叉试验是一种不存在带入效应的高效试验设计。为了减少生物转化效应的影响,通常会设计一个冲洗期。然而,当冲洗期不符合伦理道德或无法充分降低携带效应的影响时,携带效应仍然是一个突出的问题。后者可能发生在比较效益研究中,因为这种效应通常不是生物性的,而是行为性的。在本文中,我们研究了潜在结果框架下的交叉设计,包括带入效应和不带入效应。我们发现,当携带效应存在并满足符号条件时,基本估计器会低估治疗效果,这不会扩大单侧检验的 I 型误差,但会对功率产生负面影响。这导致了交叉设计和平行组设计之间的功率权衡,我们推导出了交叉设计不会导致 I 型误差膨胀且仍比平行组设计更有效的条件。我们还开发了交叉试验的协变量调整方法。我们使用 MTN-034/REACH 研究的数据评估了交叉设计和协变量调整的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioral carry-over effect and power consideration in crossover trials.

A crossover trial is an efficient trial design when there is no carry-over effect. To reduce the impact of the biological carry-over effect, a washout period is often designed. However, the carry-over effect remains an outstanding concern when a washout period is unethical or cannot sufficiently diminish the impact of the carry-over effect. The latter can occur in comparative effectiveness research, where the carry-over effect is often non-biological but behavioral. In this paper, we investigate the crossover design under a potential outcomes framework with and without the carry-over effect. We find that when the carry-over effect exists and satisfies a sign condition, the basic estimator underestimates the treatment effect, which does not inflate the type I error of one-sided tests but negatively impacts the power. This leads to a power trade-off between the crossover design and the parallel-group design, and we derive the condition under which the crossover design does not lead to type I error inflation and is still more powerful than the parallel-group design. We also develop covariate adjustment methods for crossover trials. We evaluate the performance of cross-over design and covariate adjustment using data from the MTN-034/REACH study.

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来源期刊
Biometrics
Biometrics 生物-生物学
CiteScore
2.70
自引率
5.30%
发文量
178
审稿时长
4-8 weeks
期刊介绍: The International Biometric Society is an international society promoting the development and application of statistical and mathematical theory and methods in the biosciences, including agriculture, biomedical science and public health, ecology, environmental sciences, forestry, and allied disciplines. The Society welcomes as members statisticians, mathematicians, biological scientists, and others devoted to interdisciplinary efforts in advancing the collection and interpretation of information in the biosciences. The Society sponsors the biennial International Biometric Conference, held in sites throughout the world; through its National Groups and Regions, it also Society sponsors regional and local meetings.
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