Fig. 1From: Nomogram to predict postoperative infectious complications after surgery for colorectal cancer: a retrospective cohort study in ChinaRisk factors selection using the least absolute shrinkage and selection operator (LASSO) logistic regression model. Final risk factors include chronic pulmonary disease, diabetes mellitus, preoperative and/or intraoperative blood transfusion, and longer operation time. a Optimal parameter (λ) selection in the LASSO model used five-fold cross-validation and minimum criteria. The partial likelihood deviance (binomial deviance) curve was plotted versus log(λ). Dotted vertical lines were drawn at the optimal values by using the minimum criteria and the 1 SE of the minimum criteria (the 1-SE criteria). b LASSO coefficient profiles of the 26 features. A coefficient profile plot was plotted against the log (λ) sequence, and the 4 non-zero coefficients were chosen at the values selected using fivefold cross-validation. SE, standard errorBack to article page