Development and validation of a predictive model for the pathological upgrading of gastric low-grade intraepithelial neoplasia

Figure 3 Demographic and clinical feature selection using the least absolute shrinkage and selection operator binary logistic regression model. A: Optimal parameter (lambda) selection in the least absolute shrinkage and selection operator (LASSO) model used five-fold cross-validation through minimum criteria. The partial likelihood deviance (binomial deviance) curve was plotted vs log (lambda). Dotted vertical lines were drawn by the optimal values using the minimum criteria and the 1 SE of the minimum criteria (the 1-SE criteria); B: LASSO coefficient profiles of the 30 candidate features.