Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Кластерное рандомизированное многорукавное исследование× | Перекрестное рандомизированное контролируемое исследование× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s (systematic formalization) | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| Автор метода≠ | Building on cluster randomization (Donner & Klar) and multi-arm trial methods developed in clinical and public health research | Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002) |
| Тип≠ | Experimental design | Experimental within-subject design |
| Основополагающий источник≠ | Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340691533 | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 |
| Другие названия | multi-arm cluster RCT, cluster-randomized multi-group trial, multi-arm group-randomized trial, CRCT multi-arm | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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 crossover randomized controlled trial (crossover RCT) is an experimental design in which each participant receives all study interventions in a randomized sequence, separated by a washout period. Because every participant serves as their own control, within-subject variability is eliminated from the treatment comparison, yielding greater statistical power per participant than a parallel-group RCT of equal size. |
| ScholarGateНабор данных ↗ |
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