Construction and validation of nomograms
TCGA
Variables included in the filtered models with the highest accuracy were integrated to develop nomograms for predicting OS and CSS in training cohort (via “rms” R package), respectively. The efficiency of nomograms was evaluated by bootstrapped C‐indexes, time‐dependent AUCs and calibration plots in training, internal validation and TCGA cohorts. Additionally, we preformed decision curve analysis (DCA) to assess the net benefit and clinical performance of the nomograms using the “ggDCA” R package.