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Updated: Mar 6, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

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

Published on: July 3, 2020

3.8K

结构性嵌套累积生存时间模型的双重可靠的g估计,在时间变化的混者中具有不可忽视的,非单调的缺失数据

Yoshinori Takeuchi1,2, Sho Komukai3, Atsushi Goto4

  • 1Department of Data Science, School of Data Science, Association of International Arts and Sciences, Yokohama City University, 22-2, Seto, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0027, Japan. ytake-tky@umin.ac.jp.

Lifetime data analysis
|March 4, 2026
PubMed
概括

这项研究引入了结构性嵌套累积生存时间模型 (SNCSTMs) 的新型g估计方法,以解决时间变化的混因子中不可忽视的,非单调的缺失数据,这对于因果生存分析至关重要.

关键词:
因果推理的原因推理.缺失的数据分析分析.灵敏度分析是一种灵敏度分析.结构性嵌套平均值模型对生存分析的分析.治疗混者反的反

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