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Updated: Jul 1, 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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在COINSTAC中进行分散的混合效应建模

Sunitha Basodi1, Rajikha Raja2, Harshvardhan Gazula3

  • 1Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.

Neuroinformatics
|February 29, 2024
PubMed
概括

本研究引入了一种分散的线性混合效应 (LME) 模型,用于在多个位置分析磁共振成像 (MRI) 数据,而无需将敏感信息集成. 该方法有效地识别了大脑变化,例如精神分裂症的灰质减少,与集中式方法相比.

关键词:
科因斯塔克是什么意思联合学习是联合学习.线性混合效应线性混合效应神经成像是一种神经成像.

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