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Updated: Jan 23, 2026

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在非线性混合效应模型中用于共变选择的稳定性增强的拉索方法

Auriane Gabaut1,2,3, Rodolphe Thiébaut1,2,3,4, Cécile Proust-Lima1

  • 1University of Bordeaux, INSERM, BPH, Bordeaux, France.

Statistics in medicine
|January 22, 2026
PubMed
概括

本研究介绍了Lasso-SAMBA,这是一种用于选择复杂生物模型中重要变量的新方法. 它提高了准确性,并减少了高维数据中的错误,增强了系统疫苗学研究.

关键词:
拉索回归是一种回归方式.这是一个高维的高维空间.机械模型是机械模型.模型选择,模型选择.非线性混合效应模型

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