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Updated: Jan 10, 2026

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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使用模拟研究对斜随机生存森林,随机生存森林和时间到事件数据的统计模型进行比较

Abubaker Suliman1,2, Aminu S Abdullahi2, Mohammad Mehedy Masud3,4

  • 1College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.

Scientific reports
|November 27, 2025
PubMed
概括

在高度审查的情况下,统计模型在时间到事件预测方面表现优于机器学习算法. 传统模型的表现与先进机器学习的表现相当,但审查率较低.

关键词:
考克斯的比例危险模型.倾斜的随机生存森林.随机生存森林是随机生存的森林.模拟研究是一项模拟研究.时间到事件数据.

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