Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento multibranzo× | Ensayo Controlado Aleatorizado Cruzado× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| Autor original≠ | Developed within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s) | Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002) |
| Tipo≠ | Experimental design | Experimental within-subject design |
| Fuente seminal≠ | 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 ↗ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 |
| Alias | multi-arm trial, multiple-arm experiment, multi-group experiment, many-arm design | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| Relacionados | 5 | 5 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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