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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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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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在典型的多变量缺失机制下,可恢复性和因果效应的估计

Jiaxin Zhang1,2, S Ghazaleh Dashti1,2, John B Carlin1,2

  • 1Clinical Epidemiology and Biostatistics Unit, Department of Paediatrics, University of Melbourne, Parkville, Australia.

Biometrical journal. Biometrische Zeitschrift
|April 18, 2024
PubMed
概括

在缺失数据的情况下恢复平均因果效应 (ACE) 取决于缺失假设,可视化在缺失指向非循环图 (m-DAG) 中. 多种归算方法可以提供无偏见的ACE估计,除了需要敏感性分析的特定场景外.

关键词:
这就是G计算.有关因果推理的推理.定向非循环图 (DAG) 是指向的非循环图.缺失的数据 缺失的数据多重的归算是多重的归算.

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