A second year course in advanced statistical techniques that covers useful quantitative tools in health and policy research. Assuming a strong foundation in regression and the general linear model, this course focuses on data analysis that utilizes models for categorical, discrete or limited outcomes that are commonly seen in health and policy studies. Examples include health status, number of clinic visits, etc. In this course students will also learn the principles of likelihood-based inference, which will assist them in some of the more advanced statistics courses.
