เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การทดลองแบบหลายแขนเชิงปฏิบัติ× | การทดลองแบบหลายแขนแบบแฟกทอเรียล× | |
|---|---|---|
| สาขาวิชา | การออกแบบการทดลอง | การออกแบบการทดลอง |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1967 (pragmatic trial concept); multi-arm extensions 1990s–2000s | 1926 (factorial basis); multi-arm factorial trials formalized 1980s–1990s |
| ผู้ริเริ่ม≠ | Schwartz & Lellouch (pragmatic framing); extended to multi-arm settings in clinical and health services research | R. A. Fisher (factorial foundations); multi-arm extension established in clinical trial methodology |
| ประเภท | Experimental design | Experimental design |
| แหล่งต้นตำรับ≠ | Thorpe, K. E., Zwarenstein, M., Oxman, A. D., Treweek, S., Furberg, C. D., Altman, D. G., ... & Chalkidou, K. (2009). A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers. Journal of Clinical Epidemiology, 62(5), 464-475. DOI ↗ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| ชื่อเรียกอื่น | pragmatic multi-arm trial, multi-arm pragmatic RCT, pragmatic multi-treatment experiment, PMAT | multi-arm factorial trial, factorial multi-arm trial, multi-arm factorial experiment, MAFT |
| ที่เกี่ยวข้อง | 6 | 6 |
| สรุป≠ | A pragmatic multi-arm experiment is an experimental design that simultaneously compares three or more interventions (arms) under real-world conditions rather than tightly controlled laboratory settings. It combines the broad eligibility, flexible delivery, and effectiveness orientation of pragmatic trials with the statistical efficiency of multi-arm structures, allowing researchers to evaluate multiple treatments or treatment variants against each other or a control within a single study, minimizing the resources and time required relative to running separate pairwise trials. | A factorial multi-arm experiment simultaneously tests multiple factors (each at two or more levels) by assigning participants to distinct arms that represent unique combinations of those factors. This design efficiently estimates the independent main effects of each factor and their interactions, all within a single study — making it far more informative than running separate one-factor experiments. |
| ScholarGateชุดข้อมูล ↗ |
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