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Updated: Jul 4, 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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同时选择变量并通过高斯无惩罚方法估计生存数据

Zili Liu1, Hong Wang1

  • 1School of Mathematics and Statistics, Central South University, Changsha, Hunan, China.

Statistics in medicine
|February 6, 2024
PubMed
概括

我们引入了新的高斯无 (GSELO) 惩罚,以改善生存模型中的变量选择和估计. 这种方法结合了最佳子集选择和规范化,以提高预测准确度.

关键词:
在BIC BIC中,我们可以看到.考克斯的比例危险模型.添加物危险模型的添加物危险模型幸存率数据 幸存率数据选择变量的选择变量.

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