Elderly patients over 80 years undergoing colorectal cancer resection: Development and validation of a predictive nomogram for survival

Figure 1 Least absolute shrinkage and selection operator Cox regression for feature selection. A: The correlation between the clinical characteristics’ coefficient and logarithm of λ in least absolute shrinkage and selection operator (LASSO) regression. Each coefficient was shown against the log (λ) sequence; B: The relationship between the log (λ) and mean square error in LASSO regression using the 10-fold cross-validation. The vertical dotted lines were placed at the optimal log (λ) values where clinical features were selected.