In:
Journal of Neurophysiology, American Physiological Society, Vol. 119, No. 6 ( 2018-06-01), p. 2114-2117
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.
Type of Medium:
Online Resource
ISSN:
0022-3077
,
1522-1598
DOI:
10.1152/jn.00765.2017
RVK:
XA 10000 ; XA 552555
Language:
English
Publisher:
American Physiological Society
Publication Date:
2018
detail.hit.zdb_id:
80161-6
detail.hit.zdb_id:
1467889-5