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Updated: Sep 9, 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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使用集成嵌套拉普拉斯近似计算的竞争风险生存和偏斜纵向数据的半参数联合模型的贝叶斯推理

Melkamu Molla Ferede1,2, Najmeh Nakhaei Rad3, Ding-Geng Chen3,4

  • 1Department of Statistics, University of Gondar, Gondar, Ethiopia. melkamum2m@gmail.com.

BMC medical research methodology
|September 2, 2025
PubMed
概括

这项研究引入了一种计算效率高的方法,用于使用集成嵌套拉普拉斯近似 (INLA) 来联合建模竞争风险生存和偏斜纵向数据. INLA方法显著降低了计算负担,同时保持了复杂医学研究的准确统计推断.

关键词:
贝叶斯推理慢性脏疾病竞争风险 - 纵向数据在INLAjoint联合建模没有人知道.

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