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Updated: Sep 15, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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交叉验证的目标最大概率估计的性能

Matthew J Smith1, Rachael V Phillips2, Camille Maringe3

  • 1Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.

Statistics in medicine
|July 17, 2025
PubMed
概括

针对性最大概率估计 (CVTMLE) 算法的交叉验证提高了因果推理的置信区间覆盖率,特别是在稀疏数据的情况下. 当标准TMLE违反Donsker类条件时,这种方法提供了更好的统计估计和推断.

关键词:
多恩斯克级条件条件有关因果推理的推理.数据稀疏性数据稀疏性流行病学流行病学接近积极性的违规行为.观察性研究是指观察性研究.有针对性的最大概率估计.

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