Visualizing the value of diagnostic tests and prediction models, part III. Numerical example with discrete risk groups and miscalibration

Calculating NB is a logical approach to quantifying the value of a diagnostic test or risk prediction model. In the same dataset at the same treatment threshold probability, the risk model with the higher net benefit is the better model in that dataset. Most net benefit calculations omit the harm of doing the test or applying the risk model, but if it is nontrivial, this harm can be subtracted from the net benefit.