相关实验视频

Updated: Jul 12, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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随机生存森林具有多变量纵向内源共变量

Anthony Devaux1,2,3, Catherine Helmer1, Robin Genuer4

  • 1Univ. Bordeaux, INSERM, BPH, U1219, Bordeaux, France.

Statistical methods in medical research
|October 27, 2023
PubMed
概括

这项研究引入了DynForest,这是一种针对个性化医学的新方法,可以使用患者病史预测临床事件风险. DynForest有效地处理复杂的,时间依赖的数据,以便更准确地预测风险.

关键词:
个体动态预测个体动态预测竞争的风险竞争的风险.纵向数据 纵向数据 纵向数据多变量预测器的多变量预测器随机生存森林 随机生存森林幸存率数据 幸存率数据

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