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Updated: Jul 18, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Published on: October 23, 2020

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在竞争性风险下使用纵向修改治疗策略进行因果生存分析

Iván Díaz1, Katherine L Hoffman2, Nima S Hejazi3

  • 1Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, 10016, USA. ivan.diaz@nyu.edu.

Lifetime data analysis
|August 24, 2023
PubMed
概括

这项研究引入了纵向研究中因果推断的新方法,将纵向修改治疗策略 (LMTP) 扩展到处理具有竞争风险的时间到事件结果. 该方法可以在复杂的健康场景中改善因果效应估计.

关键词:
竞争的风险 竞争的风险双重机器学习可以实现.修改了治疗政策的修改.有针对性的基于损失的最低估计.

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