Сравнение методов

	Факториальное рандомизированное контролируемое исследование	Факторный эксперимент
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)	1926–1935
Автор метода	R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)	Ronald A. Fisher
Тип	Experimental trial design	Quantitative experimental design
Основополагающий источник	Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014). Factorial experiments: Efficient tools for evaluation of intervention components. American Journal of Preventive Medicine, 47(4), 498–504.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Другие названия	Factorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Связанные	6	6
Сводка	A factorial randomized controlled trial (factorial RCT) is an experimental design in which participants are randomly assigned to every possible combination of two or more independent factors (treatments or intervention components) simultaneously. This allows researchers to estimate the main effect of each factor and their interactions within a single, efficient trial, rather than running separate experiments for each factor.	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.