review Open AccessTop 1% cited
Power failure: why small sample size undermines the reliability of neuroscience
Nature reviews. Neuroscience · 2013 · Vol. 14(5) · pp. 365–376
Katherine S. Button✉(University of Bristol)John P. A. Ioannidis(Stanford University)Claire Mokrysz(University of Bristol)Brian A. Nosek(University of Virginia)Jonathan Flint(Centre for Human Genetics)Emma Robinson(University of Bristol)Marcus R. Munafò(University of Bristol)
Meta-analysis and systematic reviewsComputational Drug Discovery MethodsFunctional Brain Connectivity StudiesStatistical powerSample size determinationReproducibilityReliability (semiconductor)Power (physics)PsychologySample (material)Computer scienceNeuroscienceCognitive psychology
MeSH terms
HumansNeurosciencesProbabilityReproducibility of ResultsSample Size
Funding
- United Kingdom Clinical Research Collaboration
- Cancer Research UK
- National Institute for Health and Care Research
- British Heart Foundation
- Medical Research Council
- Economic and Social Research Council
Citations
7,666
FWCI
417.42
field-weighted impact
References
106
Percentile
100%
vs. same field & year
Citations per year
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Believe it or not: how much can we rely on published data on potential drug targets?
Nature Reviews Drug Discovery · 2011 · 1,909 citations
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PLoS ONE · 2008 · 1,535 citations
The Effect of Antidepressant Medication Treatment on Serum Levels of Inflammatory Cytokines: A Meta-Analysis
Neuropsychopharmacology · 2011 · 903 citations
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