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Cancer Research
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为生存数据建立竞争风险回归 Nomogram 模型
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Cancer Research
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JoVE Journal
Cancer Research
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Please note that all translations are automatically generated.
Click here for the English version.
为生存数据建立竞争风险回归 Nomogram 模型
DOI:
10.3791/60684-v
•
04:57 min
•
October 23, 2020
•
Lunpo Wu
2
,
Chenyang Ge
,
Hongjuan Zheng
,
Haiping Lin
,
Wei Fu
,
Jianfei Fu
1
Department of Gastroenterology
,
Second Affiliated Hospital of Zhejiang University School of Medicine
,
2
Institute of Gastroenterology
,
Zhejiang University
,
3
Department of Colorectal Surgery, Afiliated Jinhua Hospital
,
Zhejiang University School of Medicine
,
4
Department of Medical Oncology, Affiliated Jinhua Hospital
,
Zhejiang University School of Medicine
,
5
Department of Hepatobiliary Pancreatic Surgery, Affiliated Jinhua Hospital
,
Zhejiang University School of Medicine
,
6
Division of Oncology
,
Johns Hopkins University School of Medicine
Chapters
00:04
Introduction
00:42
Nomogram Based on the Cox Proportional Hazards Regression Model
01:13
Subgroup Analysis Based on the Group Risk Score
01:43
Nomogram Based on the Competing Risk Regression Model
02:39
Results: Competing-risk Nomogram and Risk Score Estimation
04:10
Conclusion
Summary
Automatic Translation
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Automatic Translation
此处介绍的是基于考克斯比例危险回归模型和竞争风险回归模型构建符号图的协议。竞争方法是在生存分析中存在竞争事件时应用的一种更为合理的方法。
Tags
Competing Risk Regression
Survival Analysis
Nomogram
Cox Proportional Hazards Regression
Forest Plot
Cumulative Incidence Function
Kaplan-Meier Method
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