This course describes the use of hierarchical models as a means to handle correlated data and discusses the building of hierarchical models. Specific topics include linear mixed models, generalized linear models, generalized estimating equations, and the incorporation of nested structure and/or repeated measures. By the end of the course, the students are able to make use of these models to handle correlated and repeated measures of data of continuous, count or binary data types.