Uncertainty and the Value of Information in Risk Prediction Modeling.
J Mark FitzGeraldTae Yoon LeePaul GustafsonPublished in: Medical decision making : an international journal of the Society for Medical Decision Making (2022)
The development EVPI can be used to decide whether a model can advance to validation, whether it should be abandoned, or whether a larger development sample is needed. Value-of-information methods can be applied to explore decision-theoretic consequences of uncertainty in risk prediction and can complement inferential methods in predictive analytics. R code for implementing this method is provided.