Treatment randomisation at animal or pen level? : Statistical analysis should follow the randomisation pattern!
| Autor: | Duchateau L; Biometrics Research Centre, Faculty of Veterinary Medicine, Ghent University, Belgium., Dockx R; Department of Applied mathematics, Computer Science and Statistics, Faculty of Sciences, Ghent University, Belgium., Goethals K; Biometrics Research Centre, Faculty of Veterinary Medicine, Ghent University, Belgium., Vynck M; Department of Morphology, Imaging, Orthopaedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Belgium., Vangroenweghe F; Elanco Animal Health Benelux - BU Swine & Ruminants, Antwerp, Belgium., Burvenich C; Biometrics Research Centre, Faculty of Veterinary Medicine, Ghent University, Belgium. |
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| Jazyk: | angličtina |
| Zdroj: | Laboratory animals [Lab Anim] 2024 Oct; Vol. 58 (5), pp. 427-432. Date of Electronic Publication: 2024 Aug 19. |
| DOI: | 10.1177/00236772241247274 |
| Abstrakt: | Random treatment assignment is essential in demonstrating a causal relationship between a treatment and the outcome of interest. Randomisation ensures that animals assigned to different treatment groups do not differ from each other systematically, except for the randomly assigned treatment. The randomisation pattern should also dictate the statistical analysis. Competing Interests: Declaration of conflicting interestsThe authors have no conflicts of interest to declare. |
| Databáze: | MEDLINE |
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