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05:37 min
September 16th, 2022
DOI :
10.3791/64018-v
Chapters
0:04
Introduction
0:35
Discrimination Ability of the Competing Risk Nomogram
1:17
Calibration Ability of Competing Risk Models
2:42
Internal Validation Using the Bootstrap Method and External Validation of the Competing Risk Model
3:45
Results: Codes for Evaluating the Discrimination and Calibration Abilities of a Competing Risk Model
4:44
Conclusion
Transcript
我们的协议提出了评估和验证竞争风险列线图的不同方法;该方法考虑了生存分析中竞争事件的存在。该协议作为R中风险回归包的补充,例如使用引导方法计算C指数和内部验证。要开始进行 C 指数判别,请将矩阵棒拟合到竞争风险模型 mod CRR 中,并通过执行命令获得预测矩阵 SUV。
从 SUV 获取某个月份的累计发病率,并使用 R 核心发送的函数计算 C 指数。对于 AUC 判别,使用函数评分、风险回归包对竞争风险模型的预测性能进行评分。然后通过执行命令从分数中提取 AUC。
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Summary
本协议描述了R中的代码,用于评估竞争风险模型的辨别和校准能力,以及用于内部和外部验证的代码。
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