Research Paper Volume 13, Issue 7 pp 9927—9947

Development and validation of routine clinical laboratory data derived marker-based nomograms for the prediction of 5-year graft survival in kidney transplant recipients

Dynamic time-dependent AUC (TD-AUC) curves, decision curve analysis (DCA) and summary of C-indexes of two models in training and validation sets. (A). TD-AUC curves in the training set. (B) DCA curves in the training set. (C). TD-AUC curves in the validation set. (D) DCA curves in the validation set. (E) C-indexes summary of model 1 and model 2 for predicting 3- and 5-year graft survival in training and validation sets.

Figure 4. Dynamic time-dependent AUC (TD-AUC) curves, decision curve analysis (DCA) and summary of C-indexes of two models in training and validation sets. (A). TD-AUC curves in the training set. (B) DCA curves in the training set. (C). TD-AUC curves in the validation set. (D) DCA curves in the validation set. (E) C-indexes summary of model 1 and model 2 for predicting 3- and 5-year graft survival in training and validation sets.