Figure 1.

Presentation of the results of the LASSO regression analysis. (A) The LASSO regression model was used to select demographic and clinical characteristics. The optimum lambda resulted in coefficients other than zero. Ten-fold cross-validation using minimum criteria was used to determine the optimal parameter (lambda) in the LASSO model. (B) A virtual vertical line was drawn at the optimal value using the 1−SE criterion by plotting the partial likelihood deviation (binomial deviation) curve against log (lambda). LASSO, least absolute shrinkage and selection operator; SE, standard error.