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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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Principais autores: 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: Artigo
Sprog:Inglês
Udgivet: Elsevier 2021-01-01
Serier:NeuroImage
Fag:
Data protection
Distributed learning
Generalized additive mixed models
Generalized additive models
Meta-analysis
Privacy
Online adgang:http://www.sciencedirect.com/science/article/pii/S1053811920309010
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