Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Адаптивный перекрестный эксперимент× | Перекрестное рандомизированное контролируемое исследование× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Late 1990s–2000s | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| Автор метода≠ | Developed through convergence of crossover trial methodology (Senn, Williams) and adaptive design methods (Bauer, Köhne, Chow, Chang) | 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 — hybrid adaptive/crossover | Experimental within-subject design |
| Основополагающий источник≠ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584888468 | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 |
| Другие названия | adaptive crossover trial, adaptive crossover design, crossover adaptive trial, ACE design | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| Связанные | 5 | 5 |
| Сводка≠ | An adaptive crossover experiment combines the within-subject efficiency of crossover designs — where each participant receives multiple treatments in sequence — with pre-specified adaptive rules that allow trial parameters to be modified based on interim data. Each participant acts as their own control across treatment periods, while ongoing accumulating evidence can trigger pre-planned changes such as sample size re-estimation, treatment arm dropping, or allocation ratio adjustment, all governed by a formal adaptation plan to preserve inferential validity. | 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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