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Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data
Published 2025-01-01“…Methods We provide a framework for dynamic risk prediction using the penalized landmark supermodel (penLM) and develop novel metrics ( $$\:\overline{AUC}_{w}\:$$ and $$\:\overline{BS}_{w}\:$$ ) to evaluate and summarize model performance across different timepoints. …”
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