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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Veröffentlicht in:International Journal of Obesity 2020-06, Vol.44 (6), p.1440-1449
Hauptverfasser: Ejima, Keisuke, Brown, Andrew W., Smith, Daniel L., Beyaztas, Ufuk, Allison, David B.
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Sprache:eng
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