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Meta-analysis of generalized additive models in neuroimaging studies

Abstract:

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. Restrictions due to pri- vacy or proprietary data as well as more practical concerns can make it hard to share neuroimaging datasets, such that analyzing all data in a common location might be imprac...

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Peer review status:
true

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Division:
MSD
Department:
Psychiatry
Role:
Author
ORCID:
0000-0002-5190-7038
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Publication date:
2020-02-07
Language:
English
Pubs id:
1086556
Local pid:
pubs:1086556
Deposit date:
2020-02-10

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