Risk factors, prognostic predictors, and nomograms for pancreatic cancer patients with initially diagnosed synchronous liver metastasis

Figure 3 The least absolute shrinkage and selection operator regression used to select prognostic factors for overall survival. A: Least absolute shrinkage and selection operator (LASSO) coefficient profiles of 16 variables for overall survival (OS); B: LASSO Cox analysis identified 7 variables for OS. The LASSO regression analysis run in R runs 10 times K cross-validation for centralization and normalization of included variables and then selects the most appropriate lambda value depending on the type measure of -2 Log-likelihood and binomial family. “Lambda.lse” gives a model with good performance but the least number of independent variables.