相关实验视频

Updated: May 21, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

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利用混合效应回归树来分析高维纵向数据,以确定低风险和高风险的子组:模拟研究与遗传研究的应用

Mina Jahangiri1, Anoshirvan Kazemnejad2, Keith S Goldfeld3

  • 1Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

BioData mining
|March 20, 2025
PubMed
概括

一种名为Ev-RE-EM的新算法显示了对纵向遗传数据的强大预测性能,类似于无偏的RE-EM,但具有更易于解释的树. 研究人员应该测试各种算法,以获得最佳的遗传分析.

关键词:
遗传学研究是对遗传学的研究.高维数据是高维数据.纵向数据 纵向数据 纵向数据混合效应模型的混合效应模型.回归树是一个回归树.

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