Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento de Múltiples Brazos Cruzados× | Experimento factorial× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | Mid-20th century; multi-arm extensions formalized by 1970s–1980s | 1926–1935 |
| Autor original≠ | Developed from early crossover trial methodology (Williams 1949; Cochran & Cox 1957) | Ronald A. Fisher |
| Tipo≠ | Within-subject experimental design with multiple treatment arms | Quantitative experimental design |
| Fuente seminal≠ | Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883869 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Alias | multi-arm crossover trial, multi-period multi-treatment crossover, CMAT, multi-treatment crossover experiment | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | A crossover multi-arm experiment is a within-subject experimental design in which each participant receives three or more treatments (arms) across successive periods, with random assignment to sequence. Because every participant experiences all arms, the design eliminates between-subject variability from treatment comparisons, dramatically increasing statistical power for a given sample size. It is widely used in clinical pharmacology, psychology, agriculture, and behavioral research. | A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect. |
| ScholarGateConjunto de datos ↗ |
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