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...
| Auteurs principaux: | , , , , , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2020
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