Meta-analysis of generalized additive models in neuroimaging studies

Meta-analysis of generalized additive models in neuroimaging studies

Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be possible when analyzing each study separately and also allowing to systematically investigate between-study differences. Re...

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Bibliographic Details
Main Authors: Øystein Sørensen, Andreas M. Brandmaier, Dídac Macià, Klaus Ebmeier, Paolo Ghisletta, Rogier A. Kievit, Athanasia M. Mowinckel, Kristine B. Walhovd, Rene Westerhausen, Anders Fjell
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
Data protection
Distributed learning
Generalized additive mixed models
Generalized additive models
Meta-analysis
Privacy
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920309010

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http://www.sciencedirect.com/science/article/pii/S1053811920309010

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