A hierarchical Bayesian model to find brain-behaviour associations in 
incomplete data sets

Ferreira, Fabio S.; Mihalik, Agoston; Adams, Rick A.; Ashburner, John; Mourão-Miranda, Janaina

doi:10.1016/j.neuroimage.2021.118854

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A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets

Ferreira, F. S., Mihalik, A., Adams, R. A., Ashburner, J., & Mourão-Miranda, J. (2022). A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. NeuroImage, 249: 118854. doi:10.1016/j.neuroimage.2021.118854.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-0C5A-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-0E45-7

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https://doi.org/10.1016/j.neuroimage.2021.118854 (Publisher version) Open Access status unknown

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Creators:
Ferreira, Fabio S.¹, Author
Mihalik, Agoston¹, Author
Adams, Rick A.¹, Author
Ashburner, John, Author
Mourão-Miranda, Janaina¹, Author

Affiliations:
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641

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Language(s): eng - English

Dates: Date issued: 2022

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1016/j.neuroimage.2021.118854

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Title: NeuroImage

Source Genre: Proceedings

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Pages: - Volume / Issue: 249 Sequence Number: 118854 Start / End Page: - Identifier: -