Misuse of power: in defence of small-scale science

Nature Reviews Neuroscience

Volumn 14, Issue 8, 2013, Pages 585-

  Quinlan, Philip T ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONAL MAGNETIC RESONANCE IMAGING; LETTER; META ANALYSIS (TOPIC); NULL HYPOTHESIS; POWER ANALYSIS; PRIORITY JOURNAL; SAMPLE SIZE; STUDY DESIGN; SYSTEMATIC REVIEW (TOPIC);

HUMANS; NEUROSCIENCES; SAMPLE SIZE;

EID: 84880788408     PISSN: 1471003X     EISSN: 14710048     Source Type: Journal    
DOI: 10.1038/nrn3475-c1     Document Type: Letter

References (4)

1. Button, K. S. et al. Power failure: Why small sample size undermines the reliability of neuroscience. Nature Rev. Neurosci. 14, 365-376 (2013
2. Friston, K. Ten ironic rules for non-statistical reviewers. Neuroimage 61, 1300-1310 (2012
3. Ioannidis, J. P. A. Why most published research findings are false. PLoS Med. 2, e124 (2005
4. Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D. & Iverson, G. Bayesian t tests for accepting and rejecting the null hypothesis. Psychon. Bull. Rev. 16, 225-237 (2009