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Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot
The American Statistician ( IF 1.8 ) Pub Date : 2024-02-08 , DOI: 10.1080/00031305.2024.2303419 Lauren D. Liao 1 , Yeyi Zhu 2 , Amanda L. Ngo 2 , Rana F. Chehab 2 , Samuel D. Pimentel 3
The American Statistician ( IF 1.8 ) Pub Date : 2024-02-08 , DOI: 10.1080/00031305.2024.2303419 Lauren D. Liao 1 , Yeyi Zhu 2 , Amanda L. Ngo 2 , Rana F. Chehab 2 , Samuel D. Pimentel 3
Affiliation
Observational studies of treatment effects require adjustment for confounding variables. However, causal inference methods typically cannot deliver perfect adjustment on all measured baseline varia...
中文翻译:
使用联合变量重要性图确定观测性研究设计的变量的优先级
治疗效果的观察性研究需要调整混杂变量。然而,因果推理方法通常无法对所有测量的基线变化进行完美调整......
更新日期:2024-02-08
中文翻译:
使用联合变量重要性图确定观测性研究设计的变量的优先级
治疗效果的观察性研究需要调整混杂变量。然而,因果推理方法通常无法对所有测量的基线变化进行完美调整......