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Updated: Jan 9, 2026

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

Published on: July 3, 2020

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使用时间受约束的拉索网络变化混合效应模型估计纵向生物标志物效应

Shiqi Liu1, Weiwei Zhuang1, Jinfeng Xu2

  • 1Department of Statistics and Finance, University of Science and Technology of China, Hefei, People's Republic of China.

Journal of applied statistics
|December 10, 2025
PubMed
概括

这项研究引入了一种新的统计模型,用于跟踪患者的生物标志物如何随着时间的推移影响癌症治疗. 该方法准确地捕捉了不断变化的关系,改善了复杂的临床试验数据的分析.

关键词:
拉索网络罚款 拉索网络罚款纵向分析是一种纵向分析.时间变化的线性混合效应模型.两个阶段的参数估计.

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