Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Mukautuva ristiinkokeilu (Crossover Adaptive Experiment)× | Ristiinkytketty satunnaistettu kontrolloitu tutkimus× | |
|---|---|---|
| Tieteenala | Koesuunnittelu | Koesuunnittelu |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | Late 1990s–2000s | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| Kehittäjä≠ | 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) |
| Tyyppi≠ | Experimental design — hybrid adaptive/crossover | Experimental within-subject design |
| Alkuperäislähde≠ | 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 |
| Rinnakkaisnimet | adaptive crossover trial, adaptive crossover design, crossover adaptive trial, ACE design | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| Liittyvät | 5 | 5 |
| Tiivistelmä≠ | 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. |
| ScholarGateAineisto ↗ |
|
|