Competing Risks Analysis Using Machine Learning

Biostatistics › Machine Learning for Survival Analysis Research

Competing Risks Analysis Using Machine Learning

Interns will develop ML models to handle competing risks scenarios where multiple terminal events can occur, implementing methods like Fine-Gray models and machine learning alternatives. Focus areas include model validation, risk stratification, and clinical interpretation of competing risk predictions.

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