Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Expérience factorielle simple aveugle× | Essai contrôlé randomisé simple aveugle× | |
|---|---|---|
| Domaine | Plans d'expériences | Plans d'expériences |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | Factorial design: 1926; single-blinding as systematic practice: mid-20th century | 1948 (formalized); single-blind variant established in mid-20th century clinical trial methodology |
| Auteur d'origine≠ | Fisher, R. A. (factorial design); blinding practices formalized in clinical trials literature (20th century) | Bradford Hill and colleagues (MRC streptomycin trial, 1948); blinding conventions codified in CONSORT guidelines |
| Type≠ | Controlled experimental design | Experimental design — blinded randomized trial |
| Source fondatrice≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Schulz, K. F., Altman, D. G., Moher, D., & CONSORT Group. (2010). CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. BMJ, 340, c332. DOI ↗ |
| Alias≠ | single-masked factorial trial, single-blind factorial design, SB factorial experiment | single-masked RCT, single-blind RCT, single-blind trial, SB-RCT |
| Apparentées | 5 | 5 |
| Résumé≠ | A single-blind factorial experiment combines factorial design — simultaneously varying two or more independent factors across all their level combinations — with single-blinding, in which participants are unaware of which treatment condition they have been assigned to while researchers and administrators remain unmasked. This design enables efficient estimation of main effects and interactions while reducing participant-side response bias. | A single-blind randomized controlled trial (SB-RCT) is a rigorous experimental design in which participants are randomly assigned to treatment or control conditions while remaining unaware of which condition they have received. Investigators, outcome assessors, and data analysts are not blinded. By masking participants, the design eliminates placebo and nocebo response biases on the participant side, while preserving investigator flexibility to administer and monitor the intervention. |
| ScholarGateJeu de données ↗ |
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