Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics

Replicability, the ability to replicate scientific findings, is a prerequisite for scientific discovery and clinical utility. Troublingly, we are in the midst of a replicability crisis. A key to replicability is that multiple measurements of the same item (e.g., experimental sample or clinical parti...

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Bibliographic Details
Main Authors: Bridgeford, E.W (Author), Caffo, B. (Author), Colantuoni, C. (Author), Craddock, C. (Author), Dey, J. (Author), Douville, C. (Author), Gray-Roncal, W. (Author), Kiar, G. (Author), Milham, M. (Author), Noble, S. (Author), Priebe, C.E (Author), Vogelstein, J.T (Author), Wang, S. (Author), Wang, Z. (Author), Xu, T. (Author), Zuo, X.-N (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
article
artifact
Artifacts
brain
brain mapping
Brain Mapping
connectome
Connectome
correlation coefficient
Datasets as Topic
experimental design
genome
Genome
genomics
human
Humans
information processing
measurement error
procedures
quantitative analysis
reproducibility
Reproducibility of Results
simulation
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