An R-Based Landscape Validation of a Competing Risk Model
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05:37 min
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September 16th, 2022
DOI :
September 16th, 2022
•Haiping Lin*1,3, Hongjuan Zheng*2, Chenyang Ge3, Lixian Ling2, Ruihua Yin2, Qinghua Wang2, Xia Zhang2, Shishi Zhou2, Xiayun Jin2, Xifeng Xu2, Jianfei Fu2
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
Rozdziały w tym wideo
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
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