Harnessing reliability for neuroscience research
Xi-Nian Zuo (),
Ting Xu and
Michael Peter Milham
Additional contact information
Xi-Nian Zuo: University of Chinese Academy of Sciences (UCAS)
Ting Xu: CAS Institute of Psychology
Michael Peter Milham: Child Mind Institute
Nature Human Behaviour, 2019, vol. 3, issue 8, 768-771
Abstract:
Neuroscientists are amassing the large-scale datasets needed to study individual differences and identify biomarkers. However, measurement reliability within individual samples is often suboptimal, thereby requiring unnecessarily large samples. We focus our comment on reliability in neuroimaging and provide examples of how the reliability can be increased.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.nature.com/articles/s41562-019-0655-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:3:y:2019:i:8:d:10.1038_s41562-019-0655-x
Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/
DOI: 10.1038/s41562-019-0655-x
Access Statistics for this article
Nature Human Behaviour is currently edited by Stavroula Kousta
More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().