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Many observational studies and clinical trials collect various secondary outcomes that may be highly correlated with the primary endpoint. These secondary outcomes are often analyzed in secondary analyses separately from the main data analysis. However, these secondary outcomes can be used to improve the estimation precision in the main analysis. We propose a method called multiple information borrowing...
Group‐level brain connectome analysis has attracted increasing interest in neuropsychiatric research with the goal of identifying connectomic subnetworks (subgraphs) that are systematically associated with brain disorders. However, extracting disease‐related subnetworks from the whole brain connectome has been challenging, because no prior knowledge is available regarding the sizes and locations of...
We propose a novel Bayesian hierarchical model for brain imaging data that unifies voxel‐level (the most localized unit of measure) and region‐level brain connectivity analyses, and yields population‐level inferences. Functional connectivity generally refers to associations in brain activity between distinct locations. The first level of our model summarizes brain connectivity for cross‐region voxel...
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