TraCeR: Transformer-Based Competing Risk Analysis with Longitudinal Covariates
Published:Dec 19, 2025 23:24
•1 min read
•ArXiv
Analysis
This article introduces TraCeR, a transformer-based model for competing risk analysis. The use of transformers suggests an attempt to capture complex temporal dependencies in longitudinal data. The application to competing risk analysis is significant, as it addresses scenarios where multiple events can occur, and the occurrence of one event can preclude others. The paper's focus on longitudinal covariates indicates an effort to incorporate time-varying factors that influence the risk of events.
Key Takeaways
- •TraCeR is a transformer-based model.
- •It is designed for competing risk analysis.
- •It incorporates longitudinal covariates.
Reference
“The article is based on a paper from ArXiv, suggesting it is a pre-print or a research paper.”