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Updated: Jan 11, 2026

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强大的稀疏贝叶斯回归用于纵向基因环境相互作用

Kun Fan1, Yu Jiang2, Shuangge Ma3

  • 1Department of Health Data Science and Biostatistics, Peter O'Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Journal of the Royal Statistical Society. Series C, Applied statistics
|November 17, 2025
PubMed
概括

这项研究引入了一种强大的贝叶斯模型,用于分析纵向数据中的复杂遗传和环境相互作用. 这种新方法提高了变量选择和预测准确性,特别是在高维遗传因素方面.

关键词:
MCMC (马尔科夫链蒙特卡洛) 是一个纵向基因环境相互作用质量混合效应模型的混合效应模型.强大的贝叶斯变量选择.结构化的尖和板先.

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