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Updated: Jun 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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在Cox比例危险模型中,贝叶斯变量选择与先前的"单一效应总和"有关

Yunqi Yang, Karl Tayeb, Peter Carbonetto

    ArXiv
    |June 12, 2025
    PubMed
    概括

    我们开发了CoxPH-SuSiE,这是一个新的贝叶斯变量选择回归方法,用于时间到事件数据,在基因精细映射中表现出色,具有高度相关的协变量和大型数据集. 这种方法成功地确定了潜在的因果性喘风险变异.

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