Sample Size Calculation for an Individual Stepped-Wedge Randomized Trial

IF 1.3 3区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Biometrical Journal Pub Date : 2024-07-11 DOI:10.1002/bimj.202300167
Aude Allemang-Trivalle, Annabel Maruani, Bruno Giraudeau
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Abstract

In the individual stepped-wedge randomized trial (ISW-RT), subjects are allocated to sequences, each sequence being defined by a control period followed by an experimental period. The total follow-up time is the same for all sequences, but the duration of the control and experimental periods varies among sequences. To our knowledge, there is no validated sample size calculation formula for ISW-RTs unlike stepped-wedge cluster randomized trials (SW-CRTs). The objective of this study was to adapt the formula used for SW-CRTs to the case of individual randomization and to validate this adaptation using a Monte Carlo simulation study. The proposed sample size calculation formula for an ISW-RT design yielded satisfactory empirical power for most scenarios except scenarios with operating characteristic values near the boundary (i.e., smallest possible number of periods, very high or very low autocorrelation coefficient). Overall, the results provide useful insights into the sample size calculation for ISW-RTs.

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个人阶梯楔形随机试验的样本量计算。
在个体阶梯式楔形随机试验(ISW-RT)中,受试者被分配到序列中,每个序列由一个控制期和一个实验期组成。所有序列的总随访时间相同,但不同序列的对照期和实验期的持续时间各不相同。据我们所知,与阶梯式楔形分组随机试验(SW-CRT)不同,ISW-RT 没有经过验证的样本量计算公式。本研究的目的是将用于阶梯式分组随机试验的公式适用于个体随机化的情况,并通过蒙特卡罗模拟研究验证这种适用性。针对 ISW-RT 设计提出的样本量计算公式在大多数情况下都能产生令人满意的经验功率,但运行特征值接近边界的情况除外(即可能的最小周期数、自相关系数非常高或非常低)。总之,这些结果为 ISW-RT 的样本量计算提供了有益的启示。
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来源期刊
Biometrical Journal
Biometrical Journal 生物-数学与计算生物学
CiteScore
3.20
自引率
5.90%
发文量
119
审稿时长
6-12 weeks
期刊介绍: Biometrical Journal publishes papers on statistical methods and their applications in life sciences including medicine, environmental sciences and agriculture. Methodological developments should be motivated by an interesting and relevant problem from these areas. Ideally the manuscript should include a description of the problem and a section detailing the application of the new methodology to the problem. Case studies, review articles and letters to the editors are also welcome. Papers containing only extensive mathematical theory are not suitable for publication in Biometrical Journal.
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