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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Cancer Research
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JoVE Journal Cancer Research
Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

DOI:
10.3791/60684-v

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04:57 min

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October 23, 2020

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, , , , ,
1Department of Gastroenterology,Second Affiliated Hospital of Zhejiang University School of Medicine, 2Institute of Gastroenterology,Zhejiang University, 3Department of Colorectal Surgery, Afiliated Jinhua Hospital,Zhejiang University School of Medicine, 4Department of Medical Oncology, Affiliated Jinhua Hospital,Zhejiang University School of Medicine, 5Department of Hepatobiliary Pancreatic Surgery, Affiliated Jinhua Hospital,Zhejiang University School of Medicine, 6Division of Oncology,Johns Hopkins University School of Medicine

Chapters

  • 00:04Introduction
  • 00:42Nomogram Based on the Cox Proportional Hazards Regression Model
  • 01:13Subgroup Analysis Based on the Group Risk Score
  • 01:43Nomogram Based on the Competing Risk Regression Model
  • 02:39Results: Competing-risk Nomogram and Risk Score Estimation
  • 04:10Conclusion

Summary

Automatic Translation

Automatic Translation

Presented here is a protocol to build nomograms based on the Cox proportional hazards regression model and competing risk regression model. The competing method is a more rational method to apply when competing events are present in the survival analysis.

Tags

Competing Risk RegressionSurvival AnalysisNomogramCox Proportional Hazards RegressionForest PlotCumulative Incidence FunctionKaplan-Meier Method

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