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

ABSTRACT:

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 error rates and power are affected by the choice of statistical test.

Subjects/methods

We conducted "plasmode"-based simulation using empirical data on body mass (weight) from murine genetic models of obesity. For the type I error simulation, the weight distributions were adjusted to ensure no difference in means between control and mutant groups. For the power simulation, the distributions of the mutant groups were shifted to ensure specific effect sizes. Three to twenty mice we

SUBMITTER: Ejima K 

PROVIDER: S-EPMC7261642 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature