Linganisha mbinu

	Jaribio la Kifaktoria la Makundi Lililopangwa Nasibu	Jaribio la mikono mingi
Nyanja	Muundo wa Majaribio	Muundo wa Majaribio
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1990s (formalized in group-randomized trial literature)	1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs
Mwanzilishi	David M. Murray and colleagues; Allan Donner & Neil Klar	Developed within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s)
Aina	Experimental design	Experimental design
Chanzo asilia	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120912	Royston, P., Parmar, M. K. B., & Qian, W. (2003). Novel designs for multi-arm clinical trials with survival outcomes with an application in ovarian cancer. Statistics in Medicine, 22(14), 2239–2256.
Majina mbadala	cluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experiment	multi-arm trial, multiple-arm experiment, multi-group experiment, many-arm design
Zinazohusiana	5	5
Muhtasari	A cluster randomized factorial experiment assigns intact groups (clusters such as schools, clinics, or communities) at random to all combinations of two or more treatment factors, enabling simultaneous evaluation of multiple interventions and their interactions while respecting the natural grouping of participants. It merges the logistical and ethical advantages of cluster randomization with the efficiency of factorial design.	A multi-arm experiment simultaneously compares three or more treatment or intervention conditions — each called an arm — against a shared control or against one another. By testing multiple alternatives in a single study, it yields more information per participant than running separate two-group experiments sequentially, while controlling the overall Type I error rate through pre-specified comparison strategies.