https://maluque.netlify.app/tags/cvauroc/Recent content in cvauroc on MALFHugo -- gohugo.ioen© 2025-2026 Miguel Angel Luque-FernandezWed, 27 Apr 2016 00:00:00 +0000https://maluque.netlify.app/project/cvauroc/Wed, 27 Apr 2016 00:00:00 +0000https://maluque.netlify.app/project/cvauroc/cvAUROC is a Stata program that implements k-fold cross-validation for the AUC for a binary outcome after fitting a logistic regression model. Evaluating the predictive performance (AUC) of a set of independent variables using all cases from the original analysis sample tends to result in an overly optimistic estimate of predictive performance. K-fold cross-validation can be used to generate a more realistic estimate of predictive performance.