方法对比
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| 簇随机析因实验× | 多臂实验× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1990s (formalized in group-randomized trial literature) | 1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs |
| 提出者≠ | David M. Murray and colleagues; Allan Donner & Neil Klar | Developed within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s) |
| 类型 | Experimental design | Experimental design |
| 开创性文献≠ | Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120912 | Royston, P., Parmar, M. K. B., & Qian, W. (2003). Novel designs for multi-arm clinical trials with survival outcomes with an application in ovarian cancer. Statistics in Medicine, 22(14), 2239–2256. DOI ↗ |
| 别名 | cluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experiment | multi-arm trial, multiple-arm experiment, multi-group experiment, many-arm design |
| 相关 | 5 | 5 |
| 摘要≠ | A cluster randomized factorial experiment assigns intact groups (clusters such as schools, clinics, or communities) at random to all combinations of two or more treatment factors, enabling simultaneous evaluation of multiple interventions and their interactions while respecting the natural grouping of participants. It merges the logistical and ethical advantages of cluster randomization with the efficiency of factorial design. | A multi-arm experiment simultaneously compares three or more treatment or intervention conditions — each called an arm — against a shared control or against one another. By testing multiple alternatives in a single study, it yields more information per participant than running separate two-group experiments sequentially, while controlling the overall Type I error rate through pre-specified comparison strategies. |
| ScholarGate数据集 ↗ |
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