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Updated: May 13, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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作者校正:"使用纵向修改治疗策略在竞争风险下的因果生存分析"

Iván Díaz1, Nicholas Williams2, Katherine L Hoffman3

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

Lifetime data analysis
|April 14, 2025
PubMed
概括

这项研究纠正了先前关于纵向修改治疗策略 (LMTPs) 的手稿中的错误. 修正后的方法将LMTP扩展到具有竞争风险的时间到事件数据,改善了纵向研究中的因果推断.

关键词:
竞争的风险 竞争的风险两倍坚固的强大.长时间的日常数据.机器学习是机器学习.

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