Treatment randomisation at animal or pen level? : Statistical analysis should follow the randomisation pattern!

Mycoplasma hyopneumoniae Randomisation clustered-randomised trials repeated measurements replication

Journal

Laboratory animals
ISSN: 1758-1117
Titre abrégé: Lab Anim
Pays: England
ID NLM: 0112725

Informations de publication

Date de publication:
19 Aug 2024
Historique:
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 19 8 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 39157977
doi: 10.1177/00236772241247274
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

236772241247274

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe authors have no conflicts of interest to declare.

Auteurs

Luc Duchateau (L)

Biometrics Research Centre, Faculty of Veterinary Medicine, Ghent University, Belgium.

Robrecht Dockx (R)

Department of Applied mathematics, Computer Science and Statistics, Faculty of Sciences, Ghent University, Belgium.

Klara Goethals (K)

Biometrics Research Centre, Faculty of Veterinary Medicine, Ghent University, Belgium.

Matthijs Vynck (M)

Department of Morphology, Imaging, Orthopaedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Belgium.

Frédéric Vangroenweghe (F)

Elanco Animal Health Benelux - BU Swine & Ruminants, Antwerp, Belgium.

Christian Burvenich (C)

Biometrics Research Centre, Faculty of Veterinary Medicine, Ghent University, Belgium.

Classifications MeSH