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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

Article DOI: 10.3791/60684-v • 04:57 min • October 23rd, 2020
October 23rd, 2020 •
1,2, 3, 4, 5, 6, 4
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

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résumé
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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.

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Competiting Risk Regression Survival Data Nomogram Model Traffic Accidents Competing Events Cox Proportional Hazards Regression Predicted Survival Rate Risk Score Forest Plot Hazard Ratio Confidence Interval Competing Risk Regression Model Prognostic Variables Matrix Cox Nome Cumulative Incidents Function
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