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Updated: Jan 18, 2026

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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使用集群干扰对随机政策影响的高效非参数估计.

Chanhwa Lee1, Donglin Zeng2, Michael G Hudgens1

  • 1Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Journal of the American Statistical Association
|May 26, 2025
PubMed
概括

这项研究引入了新方法来估计治疗效果,当结果受到同一个群体中的其他人的影响时,解决聚类干扰. 这些新的因果估计和非参数估计器为观测数据提供了更相关和更灵活的分析.

关键词:
因果推理的原因推理.观察性研究是一种观察性研究.部分干扰是部分干扰.随机的政策 随机的政策治疗效应的治疗效应.

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