Fig. 1From: A nomogram for predicting postoperative pulmonary infection in esophageal cancer patientsPerioperative variable selection using a LASSO logistic regression model. (a) Dotted vertical lines were depicted at the optimal values by using the minimum criteria (lambda.min) and 1 SE of the minimum criteria (lambda.1se). (b) LASSO coefficient profile of 28 variables. The coefficient profile is plotted according to the logarithmic sequence. Five-fold cross-validation via minimum criteria was used to determine the optimal predictors of model resulted in four features with nonzero coefficientsBack to article page