Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Pilot Multi-Arm Experiment× | Multi-arm experiment× | |
|---|---|---|
| Vakgebied | Experimenteel ontwerp | Experimenteel ontwerp |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1990s–2000s | 1990s–2000s (clinical formalization); multi-arm concept implicit in ANOVA-era factorial designs |
| Grondlegger≠ | Evolved from clinical trial methodology; consolidated in the 1990s–2000s | Developed within clinical trials methodology; formalized by Parmar, Royston and colleagues (UK MRC CTU, early 2000s) |
| Type≠ | Experimental design (pilot/feasibility) | Experimental design |
| Oorspronkelijke bron≠ | Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., Robson, R., Thabane, M., Giangregorio, L., & Goldsmith, C. H. (2010). A tutorial on pilot studies: The what, why and how. BMC Medical Research Methodology, 10(1), 1. DOI ↗ | 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. DOI ↗ |
| Aliassen | pilot multi-arm trial, feasibility multi-arm study, pilot parallel-arm experiment, preliminary multi-arm experiment | multi-arm trial, multiple-arm experiment, multi-group experiment, many-arm design |
| Verwant≠ | 6 | 5 |
| Samenvatting≠ | A pilot multi-arm experiment is a small-scale preliminary trial that tests the feasibility, logistics, and parameter estimates needed to plan a full-scale multi-arm study. It simultaneously evaluates two or more active treatment arms alongside a control, providing early evidence on recruitment rates, retention, protocol adherence, variability, and likely effect sizes before committing to a resource-intensive definitive experiment. | 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. |
| ScholarGateGegevensset ↗ |
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