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Updated: Jun 9, 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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在复制测量分析混合模型中,在不假定直角性的情况下进行小样本推断调整

Kazushi Maruo1, Ryota Ishii1, Yusuke Yamaguchi2

  • 1Department of Biostatistics, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.

Journal of biopharmaceutical statistics
|October 30, 2024
PubMed
概括

重复测量 (MMRM) 分析的混合模型可以在临床试验中产生偏见的标准错误. 本研究介绍了两种调整方法,以提高小样本的性能,并推一种用于预期异种性质的非大样本大小.

关键词:
缺少的数据数据.一个R包一个R包纵向数据 纵向数据 纵向数据强大的差异差异.模拟研究是一种模拟研究.

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