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Updated: May 10, 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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一个共同的模型,用于 (无) 边界的纵向标记,竞争的风险,和使用患者登记数据的反复事件的患者登记数据

Pedro Miranda Afonso1,2, Dimitris Rizopoulos1,2, Anushka K Palipana3,4

  • 1Department of Biostatistics, Erasmus University Medical Center, Rotterdam, the Netherlands.

Statistics in medicine
|April 25, 2025
PubMed
概括

这项研究引入了一种新的贝叶斯联合模型来分析复杂的生存数据,包括反复和竞争事件以及受界生物标志物. 该模型为疾病进展和生物标志物协会提供了更精确的见解.

关键词:
有界的结果.竞争的风险竞争的风险.囊性纤维化症是什么联合模型 联合模型多变量纵向数据多变量纵向数据经常性事件 经常性事件

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