방법 비교

	요인 무작위 대조 시험 (Factorial Randomized Controlled Trial)	일부 요인 실험
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)	1945 (Finney); broader development 1950s–1970s by Box, Hunter
창시자	R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)	D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
유형	Experimental trial design	Quantitative experimental design
원전	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.	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
별칭	Factorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization	fractional factorial design, FFD, 2^(k-p) design, fractional replication
관련	6	4
요약	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 fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments.