Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Експеримент з перехресним дизайном з багатьма групами× | Експеримент з багатьма рукавами× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | Mid-20th century; multi-arm extensions formalized by 1970s–1980s | 1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs |
| Автор методу≠ | Developed from early crossover trial methodology (Williams 1949; Cochran & Cox 1957) | Developed within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s) |
| Тип≠ | Within-subject experimental design with multiple treatment arms | Experimental design |
| Основоположне джерело≠ | Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883869 | 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 ↗ |
| Інші назви | multi-arm crossover trial, multi-period multi-treatment crossover, CMAT, multi-treatment crossover experiment | multi-arm trial, multiple-arm experiment, multi-group experiment, many-arm design |
| Пов'язані | 5 | 5 |
| Підсумок≠ | A crossover multi-arm experiment is a within-subject experimental design in which each participant receives three or more treatments (arms) across successive periods, with random assignment to sequence. Because every participant experiences all arms, the design eliminates between-subject variability from treatment comparisons, dramatically increasing statistical power for a given sample size. It is widely used in clinical pharmacology, psychology, agriculture, and behavioral research. | 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. |
| ScholarGateНабір даних ↗ |
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