Article

Privacy-Preserving Multivariate Bayesian Regression Models for Overcoming Data Sharing Barriers in Health and Genomics

2025-07-30

Abstract excerpt

We present multivariate Bayesian regression models specifically designed to over-come data-sharing barriers in health and genomics. These multi-response models are well suited for scenarios where data must remain decentralized due to privacy, intellectual property, or regulatory constraints. In extensive simulation studies, our approach consistently outperformed traditional single-response models trained on indivi...

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Literature Corpus work: aa52072a-d99a-5858-be28-f1c136c28665
DOI: 10.1101/2025.07.30.25332448

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