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Updated: Jul 23, 2025

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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在非线性混合效果模型中,强大的和适应性的两阶段设计

Lucie Fayette1,2, Romain Leroux1, France Mentré1

  • 1Inserm, IAME, Université Paris Cité and Université Sorbonne Paris Nord, F-75018, Paris, France.

The AAPS journal
|July 19, 2023
PubMed
概括

本研究介绍了非线性混合效应模型 (NLMEM) 的强大的自适应设计,采用双阶段方法. 它通过结合模型平均和强大的费舍尔信息矩阵方法来优化临床试验设计,以获得更高的精度.

关键词:
适应性设计适应性设计渔民信息矩阵 渔民信息矩阵模型的平均值.非线性混合效应模型最佳设计的最佳设计.

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