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簇随机多臂试验×析因随机对照试验×
领域实验设计实验设计
方法族Process / pipelineProcess / pipeline
起源年份1990s–2000s (systematic formalization)1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
提出者Building on cluster randomization (Donner & Klar) and multi-arm trial methods developed in clinical and public health researchR. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
类型Experimental designExperimental trial design
开创性文献Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340691533Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014). Factorial experiments: Efficient tools for evaluation of intervention components. American Journal of Preventive Medicine, 47(4), 498–504. DOI ↗
别名multi-arm cluster RCT, cluster-randomized multi-group trial, multi-arm group-randomized trial, CRCT multi-armFactorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
相关66
摘要A cluster randomized multi-arm experiment assigns intact groups — such as schools, clinics, or villages — rather than individuals to three or more experimental conditions simultaneously. Randomization occurs at the cluster level to prevent contamination between arms, while the multi-arm structure allows simultaneous evaluation of several interventions against a common control or each other, improving efficiency over a series of two-arm studies.A factorial randomized controlled trial (factorial RCT) is an experimental design in which participants are randomly assigned to every possible combination of two or more independent factors (treatments or intervention components) simultaneously. This allows researchers to estimate the main effect of each factor and their interactions within a single, efficient trial, rather than running separate experiments for each factor.
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  3. PUBLISHED

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ScholarGate方法对比: Cluster Randomized Multi-Arm Experiment · Factorial Randomized Controlled Trial. 于 2026-06-18 检索自 https://scholargate.app/zh/compare