| Literature DB >> 29465324 |
Johannes Algermissen1, David M A Mehler2.
Abstract
Statistical power is essential for robust science and replicability, but a meta-analysis by Button et al. in 2013 diagnosed a "power failure" for neuroscience. In contrast, Nord et al. ( J Neurosci 37: 8051-8061, 2017) reanalyzed these data and suggested that some studies feature high power. We illustrate how publication and researcher bias might have inflated power estimates, and review recently introduced techniques that can improve analysis pipelines and increase power in neuroscience studies.Keywords: bias; meta-analysis; neuroscience; statistical power
Mesh:
Year: 2018 PMID: 29465324 DOI: 10.1152/jn.00765.2017
Source DB: PubMed Journal: J Neurophysiol ISSN: 0022-3077 Impact factor: 2.714