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Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Факториален рандомизиран контролиран експеримент× | Адаптивно рандомизирано контролирано проучване× | |
|---|---|---|
| Област | Планиране на експеримента | Планиране на експеримента |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization) | 1980s–2000s (formalized; earlier sequential testing roots from Wald, 1947) |
| Създател≠ | R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014) | Donald Berry and others; foundational adaptive trial methods developed through 1980s–2000s biostatistics literature |
| Тип≠ | Experimental trial design | Experimental design — adaptive variant of RCT |
| Основополагащ източник≠ | Collins, 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 ↗ | Chow, S.-C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman & Hall/CRC. ISBN: 978-1584887690 |
| Други названия | Factorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization | Adaptive RCT, Response-adaptive RCT, Adaptive clinical trial, Platform trial |
| Свързани | 6 | 6 |
| Резюме≠ | 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. | An adaptive randomized controlled trial (adaptive RCT) is an experimental design in which pre-specified rules allow modifications to the trial while it is ongoing — such as changing allocation ratios, dropping underperforming arms, or stopping early for efficacy or futility — based on accumulating interim data. These adaptations are planned before the trial starts and governed by statistical rules to preserve Type I error control and validity. |
| ScholarGateНабор от данни ↗ |
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