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Analysis of Prognostic Factors of Low-Grade Gliomas in Adults Using Time-Dependent Competing Risk Models: A Population Study Based on the Surveillance, Epidemiology, and End Results Database.

Kaiwei CaiDidi HanDie DengMan KeMin PengJun LyuAnding Xu
Published in: Cancer control : journal of the Moffitt Cancer Center (2022)
The time-dependent competing risk models were better than the Cox regression model for evaluating the impact of covariates on low-grade glioma-specific mortality in the presence of competing risks and time-varying coefficients. The models identified the prognostic factors of LGG more accurately than the Cox regression model.
Keyphrases
  • low grade
  • prognostic factors
  • high grade
  • human health