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Updated: Jun 28, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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在对错误测量持续暴露的回归校准中对共变量进行因果选择

Wenze Tang1, Donna Spiegelman2,3, Xiaomei Liao1,4

  • 1From the Department of Epidemiology, Harvard School of Public Health, Boston, MA.

Epidemiology (Cambridge, Mass.)
|April 17, 2024
PubMed
概括

研究人员可以通过仔细选择共变量来改善对连续暴露的测量误差的偏差调整. 调整暴露和结果的常见原因,以及测量错误和结果,对于准确的影响估计至关重要.

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