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Updated: May 10, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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利用患者报告的长度结果轨迹来预测非小细胞肺癌的生存率

Jiawei Zhou1, Benyam Muluneh1, Zhaoyang Wang2

  • 1University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Clinical cancer research : an official journal of the American Association for Cancer Research
|April 24, 2025
PubMed
概括

在非小细胞肺癌 (NSCLC) 中,长度患者报告结果 (PRO) 分析揭示了预后见解. PRO动态有效预测存活率,增强以患者为中心的护理策略.

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