Murine genetic models of obesity: type I error rates and the power of commonly used analyses as assessed by plasmode-based simulation

BACKGROUND/OBJECTIVES: Genetic contributors to obesity are frequently studied in murine models. However, the sample sizes of these studies are often small, and the data may violate assumptions of common statistical tests such as normality of distributions. We examined whether, in these cases, type I...

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Detalles Bibliográficos
Autores principales: Ejima, Keisuke, Brown, Andrew W., Smith, Daniel L., Beyaztas, Ufuk, Allison, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261642/
https://www.ncbi.nlm.nih.gov/pubmed/32099106
http://dx.doi.org/10.1038/s41366-020-0554-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261642/
https://www.ncbi.nlm.nih.gov/pubmed/32099106
http://dx.doi.org/10.1038/s41366-020-0554-2

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