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全随机效应建模方法的属性,缺少共变量数据

Joakim Nyberg1, E Niclas Jonsson1, Mats O Karlsson1,2

  • 1Pharmetheus AB, Uppsala, Sweden.

Statistics in medicine
|December 21, 2023
PubMed
概括

完全随机效应模型 (FREM) 有效地处理药物开发研究中缺少的共变量数据. 这种方法显示出最小的偏差和精度损失,与完全固定效应模型 (FFEM) 不同.

关键词:
在这个过程中,FREM一个共同变量模型.完整的建模方法.全球卫生健康全球卫生健康年龄相应的身高Z分数.

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