A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis
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In cross-cohort studies, integrating diverse datasets is essential and challenging due to cohort-specific variations, distributed data storage, and privacy concerns. Traditional methods often require data pooling or harmonization, which can reduce efficiency a... ...
