Small sample size is not the real problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience
Link
http://www.nature.com/articles/nrn3475-c3.pdf
Reference10 articles.
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. Ioannidis, J. P. A. Why most published research findings are false. PLoS Med. 2, e124 (2005).
3. Goodman, S. N. & Berlin, J. A. The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results. Ann. Intern. Med. 121, 200–206 (1994).
4. Hoenig, J. M. & Heisey, D. M. The abuse of power: the pervasive fallacy of power calculations for data analysis. Am. Stat. 55, 19–24 (2001).
5. Senn, S. J. Power is indeed irrelevant in interpreting completed studies. BMJ 325, 1304 (2002).
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