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Updated: Jun 6, 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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- 膨胀β回归模型用于估计 - 对于被审查的时间到事件数据的受限制的平均值和无事件概率

Yizhuo Wang1, Susan Murray1

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.

Biometrical journal. Biometrische Zeitschrift
|November 28, 2024
PubMed
概括

这项研究引入了一种新的β回归模型,用于分析许多受审查的观测数据的时间到事件数据. 新模型准确地估计了生存时间和无事件概率,在模拟中表现优于现有方法.

关键词:
预期最大化算法膨胀β回归的膨胀β回归对被审查的时间到事件的多次归咎.有限制的平均存活时间.

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