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History
- Received May 31, 2019
- Revision received June 3, 2019
- Accepted June 8, 2019
- Published online August 1, 2019.
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Copyright © 2019 Calin-Jageman and Cumming This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
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Author contributions
Disclosures
The authors declare a competing financial interest that they have published a textbook on the estimation approach.
This work was partially supported by NIGMS Grant 1R25GM132784-01. We thank Sander Greenland, Paul S. Katz, Anthony Krafnick, Daniel Lakens, Blakely McShane, Gjalt-Jorn Peters, Rebecca Pliske, and Eric-Jan Wagenmakers for helpful and incisive comments, and Daniel Quintana for feedback on our discussion of oxytocin and human social behavior.
See related editorial and research article.
Funding
HHS | NIH | National Institute of General Medical Sciences (NIGMS)
1R25GM132784-01
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Estimation for Better Inference in Neuroscience
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- Article
- Abstract
- Significance Statement
- Estimation for better inference in neuroscience
- The estimation approach
- Estimation in action
- Estimation thinking for an improved research cycle
- Estimation helps calibrate research conclusions to uncertainty
- Estimation fosters thoughtful research planning and optimization
- Estimation can mitigate publication bias
- Estimation facilitates accurate comparisons across results
- Some important clarifications and caveats
- Resources for estimation
- Notes on analysis of data from Kosfeld et al. (2005)
- Footnotes
- References
- Synthesis
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