Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression

Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression

<i>Background and Objectives</i>: 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 va...

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Bibliographic Details
Main Authors: Leandro Magga, Simón Maturana, Marcelo Olivares, Martín Valdevenito, Josefa Cabezas, Javier Chapochnick, Fernando González, Alvaro Kompatzki, Hans Müller, Jacqueline Pefaur, Camilo Ulloa, Ricardo Valjalo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Medicina
Subjects:
kidney transplantation
risk prediction
graft survival
regularized models
Elastic Net
Online Access:https://www.mdpi.com/1648-9144/58/10/1348

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