Figure 1.

Predictor selection using the LASSO regression analysis. (A) Tuning parameter (lambda) selection in the LASSO regression used 10-fold cross-validation. Binomial deviance was plotted versus log (lambda). The dotted vertical lines were plotted at the optimal values according to the 1-SE criteria; (B) LASSO regression coefficient profiles of variables. A coefficient profile plot was created against the log (lambda) sequence. A total of 6 non-zero coefficients were filtered and used to construct predictive model. SE, standard error.