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J. Söding

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Open access Sep 2026

MMAD-Risk: Multivariate Mixed Survival Analysis for the Prediction of Age-Dependent Disease Risks from Plasma Proteomes

Motivation Multivariate survival analysis with hundreds of correlated outcomes is computationally challenging. Established approaches either ignore correlations between response variables, rely on black-box deep learning or are limited to small-scale outcomes. Results We introduce MMAD-Risk, a novel multivariate mixed...

Amelie M. Hilger, J. Söding · 0 citations

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