The emphasis of this review is data quality and the statistical performance of seventy models. Assumptions made about missing values, evaluation of reliability, model performance assessment, and model customization are reviewed and discussed. Although performance evaluation methods are well developed, they are not extensively applied. If severity models are not correctly revised and used, the information they produce has very little value.