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Power failure: Why small sample size undermines the reliability of neuroscience

Abstract:

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 ineff...

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Publisher copy:
10.1038/nrn3475

Authors


Button, KS More by this author
Ioannidis, JPA More by this author
Mokrysz, C More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, WTC Human Genetics
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Journal:
Nature Reviews Neuroscience
Volume:
14
Issue:
5
Pages:
365-376
Publication date:
2013-05-01
DOI:
EISSN:
1471-0048
ISSN:
1471-003X
URN:
uuid:92ee3ccc-ef36-4e12-a10f-e0f4b192dfdb
Source identifiers:
403493
Local pid:
pubs:403493

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