A Note on Breiman's Random Forest Data Mining Technique and Conventional Cox Modeling of Survival Statistics: The Case of the Phantom “Induct” Covariate in the Ohio State University Kidney Transplant Database (Q5421549)
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scientific article; zbMATH DE number 5204465
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A Note on Breiman's Random Forest Data Mining Technique and Conventional Cox Modeling of Survival Statistics: The Case of the Phantom “Induct” Covariate in the Ohio State University Kidney Transplant Database |
scientific article; zbMATH DE number 5204465 |
Statements
A Note on Breiman's Random Forest Data Mining Technique and Conventional Cox Modeling of Survival Statistics: The Case of the Phantom “Induct” Covariate in the Ohio State University Kidney Transplant Database (English)
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24 October 2007
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Breiman random forests
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Cox proportional hazard model
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data mining
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importance of variables
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kidney transplant data
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observational data analysis
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survival statistics
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0.8174901
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0.8168541
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0.8013724
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0.79414886
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0.79386723
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