Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Re...
Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Background and Objectives: We developed a predictive statistical model to identify donor–recipient characteristics related to kidney graft survival in the Chilean population. Given the large number of potential predictors relative to the sample size, we implemented an automated variable selection mechanism that could be revised in future studies as...
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Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression
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TN_cdi_doaj_primary_oai_doaj_org_article_45f111a3e67a4e0f9e22f86c995263c5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45f111a3e67a4e0f9e22f86c995263c5
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ISSN
1648-9144,1010-660X
E-ISSN
1648-9144
DOI
10.3390/medicina58101348
