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Updated: Jul 20, 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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混合模型中因模拟规范模糊或不完整而导致的重复测量的I型错误率膨胀

Sebastian Häckl1, Armin Koch1, Florian Lasch2

  • 1Hannover Medical School, Institute of Biostatistics, Hannover, Niedersachsen, Germany.

Pharmaceutical statistics
|July 31, 2023
PubMed
概括

在临床试验中,对重复测量 (MMRM) 混合模型的不精确规范可能会使家庭智能型I错误率 (T1E) 膨胀,可能会损害确认证据. 这项研究量化了这种通货膨胀,显示了在模糊的MMRM模型中显著的T1E率上升.

关键词:
MMRM MMRM 是一个MMRM.T1E 率通货膨胀的情况模型规格 模型规格多重性问题问题多重性问题模拟研究是一种模拟研究.

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