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An R-Based Landscape Validation of a Competing Risk Model

Article DOI: 10.3791/64018-v • 05:37 min • September 16th, 2022
September 16th, 2022 •
*1,3, *2, 3, 2, 2, 2, 2, 2, 2, 2, 2
1Department of Hepatobiliary Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, 2Department of Medical Oncology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, 3Department of Colorectal Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine
* These authors contributed equally

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résumé
Automatic Translation

The present protocol describes codes in R for evaluating the discrimination and calibration abilities of a competing risk model, as well as codes for the internal and external validation of it.

Tags

R-based Landscape Validation Competing Risk Model Evaluation Validation Nomogram Survival Analysis Risk Regression Package C-index Internal Validation Bootstrap Method Discrimination Matrix Cob Matrix SUV Cumulative Incidences C-index Function AUC Discrimination Score Function Calibration Curves 95% Confidence Interval
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