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Updated: Sep 12, 2025

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

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一个统一的框架,用于模拟反和内质性在纵向二元结果使用贝叶斯方法的贝叶斯方法

Lori P Selby1, Ruoqian Liu1, Jeffrey R Wilson2

  • 1School of Mathematics and Statistics, Arizona State University, Tempe, Arizona, USA.

Statistics in medicine
|August 7, 2025
PubMed
概括

这项研究引入了一个新的贝叶斯框架,以准确分析带有反效应的纵向数据. 该方法提高了对时间依赖的共变量和二进制结果的估计准确性和不确定性量化.

关键词:
马尔科夫链蒙特卡洛 (MCMC) 是一个有关因果推理的推理.动态共变量建模模型内源性预测因素的内源性预测这是一个仪器变量.

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