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September 5, 2025Genomics & InformaticsOpen Access

Statistical learning methods for improving predictive performance in time-dependent survival models

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Authors

HSHyojeong SeoWCWonil Chung

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Overview

Stratified Cox PH model enhances predictive accuracy in survival models, suggesting better assessment of time-dependent effects.

Key Points

  • Refining time intervals improved the predictive accuracy of survival models in COVID-19.
  • Applying a stratified Cox PH model revealed a previously reported hazard ratio refinement.
  • Machine learning and deep learning models showed limited performance compared to the Cox PH model under certain conditions.
  • Events analyzed focused on death risk among infected versus uninfected individuals using UK Biobank data.

Cite This Study

Seo et al. (2025) studied this question.

synapsesocial.com/papers/68bb4de86d6d5674bcd019d0https://doi.org/10.1186/s44342-025-00050-7
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