期刊
JOURNAL OF NEUROPHYSIOLOGY
卷 119, 期 6, 页码 2114-2117出版社
AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00765.2017
关键词
bias; meta-analysis; neuroscience; statistical power
资金
- PhD studentship from Radboud University
- PhD studentship from Health and Care Research Wales [HS/14/20]
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.
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