Empirical Bayes (EB) on hierarchical linear models are frequently utilized in practice. This paper provides an overview of parametric EB methods with special emphasis on their application in data-analytic settings. A variety of models with different levels of complexity are described. Comparisons of performance with other methods are illustrated using test data. Applications to validity generalization and survival analysis are also discussed. (60pp.)