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Updated: Jul 1, 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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对多变量纵向和时间到事件数据的贝叶斯定量联合建模.

Damitri Kundu1, Shekhar Krishnan2, Manash Pratim Gogoi2

  • 1Applied Statistics Division, Indian Statistical Institute, Kolkata, India.

Lifetime data analysis
|March 1, 2024
PubMed
概括

这项研究引入了贝叶斯量子式联合模型,用于分析急性淋巴细胞白血病 (ALL) 患者的纵向生物标志物和复发时间. 该模型显示,较高的淋巴细胞计数增加了复发风险,而较高的中性粒细胞和血小板计数降低了复发风险,并观察到特定的药物效应.

关键词:
急性淋巴细胞白血病 (ALL)不对称的拉普拉斯分布 (ALD)共同的模型 共同的模型美国MCMCMCMCMCMCMCMC量子式回归是量子式回归的方法.

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