Construction of a prognostic model for colorectal cancer liver metastasis: A retrospective study based on population data

Figure 1 Selection of factors associated with overall survival using the least absolute shrinkage and selection operator-Cox regression model. A: The upper abscissa is the number of non-zero coefficients in this model, and the ordinate is the coefficient value. least absolute shrinkage and selection operator (LASSO) coefficients of 50 candidate variables (age, sex, different nationalities, tumor size, lymph node metastasis, surgical method, grade, vascular invasion, nerve invasion, and marital, menstrual, and vital status); B: The optimal penalization coefficient in the LASSO model was identified by 10-fold cross-validation and the minimum criterion in the training cohort. The left vertical dotted line represents the minimum error, and the right line represents the cross-validated error within one standard error of the minimum. The upper abscissa indicates the number of independent variables that still exist in the model.