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Updated: Jul 11, 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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一种高效的估计方法,用于对纵向和生存数据的联合建模

Jody Krahn1, Shakhawat Hossain1, Shahedul Khan2

  • 1Department of Mathematics and Statistics, University of Winnipeg, Winnipeg, MB, Canada.

Journal of applied statistics
|November 16, 2023
PubMed
概括

本研究介绍了对纵向和生存数据的联合模型的预测和收缩估计方法. 这些方法改善了参数估计和变量选择,这对于医学研究中可靠的统计分析至关重要.

关键词:
62N02 它们是什么?预期最大化算法 预期最大化算法联合建模 联合建模纵向和生存数据.这是最大的可能性.预测和收缩估计器的预测.

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