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A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.

Original publication

DOI

10.1038/nrn3475

Type

Journal article

Journal

Nat Rev Neurosci

Publication Date

05/2013

Volume

14

Pages

365 - 376

Keywords

Humans, Neurosciences, Probability, Reproducibility of Results, Sample Size