Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression

Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression

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Clinical neuroimaging data availability has grown substantially in the last decade, providing the potential for studying heterogeneity in clinical cohorts on a previously unprecedented scale. Normative modeling is an emerging statistical tool for dissecting heterogeneity in complex brain disorders....

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Bibliographic Details
Main Authors: Seyed Mostafa Kia, Hester Huijsdens, Saige Rutherford, Augustijn de Boer, Richard Dinga, Thomas Wolfers, Pierre Berthet, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731431/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731431/?tool=EBI

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