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Updated: Jul 15, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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在通用线性模型和生存模型中适应贝叶斯变量选择的适应性MCMC

Xitong Liang1, Samuel Livingstone1, Jim Griffin1

  • 1Department of Statistical Science, University College London, London WC1E 6BT, UK.

Entropy (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究介绍了一种高维贝叶斯变量选择在通用线性和生存模型中的高效计算方案. 新的PARNI建议改进了模型采样和边际概率估计,优于模拟和基因绘图数据中的现有方法.

关键词:
贝叶斯计算是贝叶斯的计算.贝叶斯的变量选择选择是贝叶斯的.适应性的马尔科夫链 蒙特卡洛一般化的线性模型.尖和石的先行者们生存模型的生存模型.

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