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Updated: May 15, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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开发和验证卵巢清细胞癌的预后诺基图:基于SEER数据库和中国队列的研究

Yao Shen1,2,3, Fei Xi1,2, Pingge Zhao4,5

  • 1Laboratory of Medical Genetics, Harbin Medical University, Harbin, China.

Discover oncology
|April 7, 2025
PubMed
概括

这项研究开发了一种名谱来预测卵巢清细胞癌 (OCCC) 患者的生存率. 该模型基于8个预后因素,有效预测患者的结果,帮助临床决策.

关键词:
特定于癌症的生存率这个名字叫做Nomogram.卵巢清晰细胞癌的发生.总体生存率 总体生存率在 SEER 数据库中,我们可以看到

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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