방법 비교

	크로스오버 요인 실험	교차 무작위 대조 시험 (crossover RCT)
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1920s–1960s (synthesis of factorial and crossover traditions)	1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s
창시자	R. A. Fisher (factorial principles, 1920s); crossover integration developed in biostatistics through mid-20th century	Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002)
유형	Experimental design	Experimental within-subject design
원전	Jones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). Chapman and Hall/CRC. ISBN: 978-1439861424	Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533
별칭	within-subject factorial design, repeated-measures factorial experiment, factorial crossover trial, crossover factorial trial	crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design
관련	5	5
요약	A 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.