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Updated: Jul 14, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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半参数正常转换联合模型的多变量纵向和双变量时间到事件数据

An-Ming Tang1, Cheng Peng1, Niansheng Tang1

  • 1Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Yunnan, People's Republic of China.

Statistics in medicine
|October 10, 2023
PubMed
概括

这项研究引入了一种新的纵向和生存数据的联合模型,处理临床试验中常见的相关生存数据. 贝叶斯适应拉索方法同时估计参数并选择预测因子,以改进分析.

关键词:
贝叶斯适应式拉索 (Lasso) 是一个贝叶斯适应式拉索.贝叶斯惩罚的线条是贝叶斯惩罚的线条两变的时间到事件数据.联合模型 联合模型一个半参数的正常转换.

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