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Updated: Jul 16, 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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在对间隔的估计上,审查了破坏性的负二项式治愈模型

Jodi Treszoks1, Suvra Pal1

  • 1Department of Mathematics, University of Texas at Arlington, Arlington, Texas, USA.

Statistics in medicine
|September 14, 2023
PubMed
概括

这项研究引入了两种新的算法,用于分析复杂的生存数据,其中缺少有关风险因素的信息. 随机期望最大化 (SEM) 算法在竞争性风险模型中的参数恢复方面被证明是优越的.

关键词:
在SEM算法中,SEM算法是:儿童死亡率 儿童死亡率导致相互竞争的原因.时间间隔审查审查.

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