Steps of model validation
To validate a prediction model investigators need to follow a few basic steps. We broadly classify the steps of model validation into two main categories (Figure 1):
  1. Apply originally developed model into a different dataset that was not used to develop the model which we will call “model validation procedures”
  2. Asses the performance of the model in the new dataset which we will call “model performance assessment”