| Literature DB >> 28933527 |
Jennifer E Murray1, Scott T Barrett1, Rebecca L Brock1, Rick A Bevins1.
Abstract
Everyone should care deeply about statistical power and effect size given that the current estimates of wasted nonreproducible and exaggerated research findings range from 50 to 85%, combined with the mandates from the National Institutes of Health (NIH) that proposal reviewers focus on scientific rigor and investigators consider sex as a biological variable. In this Viewpoint, we provide recommendations and resources regarding power analyses aimed at enhancing rigor, and hence decreasing waste, when designing experiments. As part of this effort, we also make recommendations for reporting key statistics that will aid others in estimating sample size based on published research.Keywords: Data analyses; effect size; replication crisis; scientific rigor
Mesh:
Year: 2017 PMID: 28933527 DOI: 10.1021/acschemneuro.7b00341
Source DB: PubMed Journal: ACS Chem Neurosci ISSN: 1948-7193 Impact factor: 4.418