Comparer des méthodes

	Plan d'essai croisé	Plan d'expériences factoriel complet
Domaine	Plans d'expériences	Plans d'expériences
Famille	Hypothesis test	Hypothesis test
Année d'origine	1960	1926
Auteur d'origine	Early formalized in clinical research literature; widely used since mid-20th century	R. A. Fisher
Type	Within-subject repeated-measures design	Parametric factorial experiment
Source fondatrice	Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130
Alias	within-subject crossover, cross-over design, AB/BA design, Çapraz Desen (Crossover Design)	factorial experiment, 2^k factorial, full factorial, Faktöriyel Deneme Deseni (Full Factorial, 2^k)
Apparentées	6	5
Résumé	A crossover design is an experimental design in which each participant receives all treatments under investigation, but in a different sequence and across separate time periods. Each subject thus acts as their own control, which substantially reduces between-subject variability and allows efficient treatment comparisons with smaller sample sizes. The approach has been central to clinical pharmacology and comparative research since the mid-20th century, with foundational methodology codified by Senn (2002) and Jones & Kenward (2014).	A full factorial design is a parametric experimental method in which every combination of factor levels is tested simultaneously, enabling the estimation of all main effects and all interaction effects in a single study. Rooted in R. A. Fisher's foundational work on designed experiments (1926) and systematically developed by Box, Hunter, and Hunter (2005) and Montgomery (2017), the 2^k form tests k two-level factors across 2^k experimental runs and is the benchmark against which all other factorial designs are measured.