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Expérience factorielle croisée×Essai contrôlé randomisé croisé×
DomainePlans d'expériencesPlans d'expériences
FamilleProcess / pipelineProcess / pipeline
Année d'origine1920s–1960s (synthesis of factorial and crossover traditions)1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s
Auteur d'origineR. A. Fisher (factorial principles, 1920s); crossover integration developed in biostatistics through mid-20th centuryEarly formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002)
TypeExperimental designExperimental within-subject design
Source fondatriceJones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). Chapman and Hall/CRC. ISBN: 978-1439861424Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533
Aliaswithin-subject factorial design, repeated-measures factorial experiment, factorial crossover trial, crossover factorial trialcrossover RCT, crossover trial, within-subject RCT, AB/BA crossover design
Apparentées55
RésuméA crossover factorial experiment combines two powerful design principles: factorial structure, which studies multiple factors and their interactions simultaneously, and crossover structure, in which each participant receives more than one treatment combination across sequential periods. By serving as their own control, participants reduce between-subject variability, improving statistical power while also revealing how different factor levels interact within the same individual.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.
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ScholarGateComparer des méthodes: Crossover Factorial Experiment · Crossover Randomized Controlled Trial. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare