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Updated: Mar 17, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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对联合AFT随机效应模型的处罚变量选择与集群竞争风险数据

Lin Hao1, Il Do Ha2

  • 1College of Economics Management, Weifang University of Science and Technology, Shouguang, China.

Pharmaceutical statistics
|March 15, 2026
PubMed
概括

本研究引入了一种新的变量选择方法,用于用处罚h-likelihood对集群竞争风险数据进行选择. 模拟结果显示,SCAD和HL等处罚方法在准确的临床试验分析中优于LASSO.

关键词:
AFT随机效应模型的随机效应模型.在H-概率.集群竞争风险数据数据数据集群竞争风险数据竞争风险模型中的竞争风险模型.受到惩罚的变量选择选择.

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