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クラスター無作為化比較対照群実験計画×要因ランダム化比較試験(Factorial Randomized Controlled Trial)×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1990s (formal methodology development)1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
提唱者Murray, D. M.; Donner, A. and Klar, N. (systematic formalization)R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
種類Experimental designExperimental trial design
原典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 ↗
別名CRCT with control group, group-randomized trial, cluster RCT control group design, community randomized controlled trialFactorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
関連66
概要A cluster randomized control group experimental design randomly assigns intact groups (clusters) — such as schools, clinics, or communities — rather than individuals to treatment or control conditions. At least one cluster group receives no active intervention, serving as the control. This design is essential when individual randomization is impractical or contamination between participants in close proximity is likely.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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ScholarGate手法を比較: Cluster Randomized Control Group Experimental Design · Factorial Randomized Controlled Trial. 2026-06-18に以下より取得 https://scholargate.app/ja/compare