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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.

More information Original publication

DOI

10.1152/jn.00765.2017

Type

Journal article

Publication Date

2018-06-01T00:00:00+00:00

Volume

119

Pages

2114 - 2117

Total pages

3

Keywords

bias, meta-analysis, neuroscience, statistical power, Bias, Neurosciences