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An efficient linear mixed model framework for meta-analytic association studies across multiple contexts
Linear mixed models (LMMs) can be applied in the meta-analyses of responses from individuals across multiple contexts, increasing power to detect associations while accounting for confounding effects arising from within-individual variation. However, traditional approaches to fitting these models ca...
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| Published in: | Lebniz Int Proc Inform |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8323485/ https://ncbi.nlm.nih.gov/pubmed/34335990 |
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