Statistical learning methods for improving predictive performance in time-dependent survival models
These findings suggest that refining time intervals improves the understanding of time-dependent effects in infectious diseases. Incorporating stratified intervals and advanced models enhances risk assessment and predictive accuracy for COVID-19 and other evolving diseases.
Authors
- Hyojeong Seo
- Wonil Chung (ORCID: https://orcid.org/0000-0002-5766-6247)
Institutions
- Harvard University (US)
- Soongsil University (KR)
Publication Details
- Journal
- Genomics & Informatics
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1186/s44342-025-00050-7
- Citations
- 1
- Primary Topic
- Statistical Methods and Inference
- Type
- article
- Field-Weighted Citation Impact
- 2.63
Funders
- National Research Foundation
- National Research Foundation of Korea