Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Esperimento fattoriale frazionario crossover× | Trial Controllato Randomizzato Cross-over× | |
|---|---|---|
| Campo | Disegno sperimentale | Disegno sperimentale |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1950s–1970s (fractional factorial from 1940s; crossover integration from 1960s–1970s) | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| Ideatore≠ | Box, Hunter & Hunter (fractional factorial); Senn & Williams (crossover integration) | Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002) |
| Tipo≠ | Within-subject multi-factor experimental design | Experimental within-subject design |
| Fonte seminale | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 |
| Alias | crossover FF design, within-subject fractional factorial, repeated-measures fractional factorial, crossover FFE | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| Correlati | 5 | 5 |
| Sintesi≠ | A crossover fractional factorial experiment is a within-subject design in which each participant receives a strategically chosen subset of all possible factor-level combinations in a defined sequence, with washout periods between treatment periods. By combining the run-economy of fractional factorial designs with the within-subject efficiency of crossover designs, it allows estimation of main effects and selected interactions while controlling for between-subject variability using far fewer participants and experimental runs than a full factorial crossover. | 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. |
| ScholarGateInsieme di dati ↗ |
|
|