เปรียบเทียบวิธี

	การทดลองสุ่มและมีกลุ่มควบคุมนำร่อง	การทดลองแบบสุ่มที่มีปัจจัยหลายตัวประกอบ
สาขาวิชา	การออกแบบการทดลอง	การออกแบบการทดลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1990s–2000s (methodological formalization)	1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
ผู้ริเริ่ม	Formalized through clinical trials methodology community	R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
ประเภท	Experimental feasibility design	Experimental trial design
แหล่งต้นตำรับ	Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., ... & Goldsmith, C. H. (2010). A tutorial on pilot studies: the what, why and how. BMC Medical Research Methodology, 10(1), 1.	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.
ชื่อเรียกอื่น	pilot RCT, feasibility RCT, pilot trial, preliminary RCT	Factorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
ที่เกี่ยวข้อง	5	6
สรุป	A pilot randomized controlled trial (pilot RCT) is a small-scale, fully randomized experiment conducted before a definitive RCT to test the feasibility of study procedures, estimate key parameters such as recruitment rates and effect-size variability, and identify practical barriers. It uses the same randomization, intervention, and measurement protocol as the planned full trial but on a fraction of the target sample. The goal is not to confirm efficacy but to refine and justify the main trial design.	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.