Work

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

Year: 2020

Type: article

Source: International Journal of Obesity

DOI: 10.1038/s41366-020-0554-2

Authors: Keisuke Ejima, Andrew W. Brown, Daniel L. Smith, Ufuk Beyaztas, David B. Allison

Institutions: Indiana University Bloomington, Indiana University, The University of Tokyo, University of Alabama at Birmingham, Bartin University

Language: English

Topic: Statistical Methods in Clinical Trials

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Japan Society for the Promotion of Science, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: G1442900148, G2682173309, The Mathematical Sciences in Obesity Research, G494847254, Exploring association between weight trajectory and lifestyle diseases with artificial intelligence in post-menopausal women, G5688962807, G860149444, UAB Nutrition Obesity Research Center (NORC)

OpenAlex ID: W3007549562

FWCI: 0.511

Cites: 33

Cited by: 4

Related to: 10