Advanced Methods for Implementation and Prevention Science

Graduate / Professional

The course presents methods for the design and analysis of studies arising in the implementation and prevention science space. These studies implement a range of cluster-randomized designs, quasi-experimental designs, and observational designs. This course consists of two parts. The first provides an exposition of the theory and analytic techniques used in the design and analysis of experimental studies arising in implementation and prevention science. The second covers the design and analysis of quasi-experimental and observational studies. SAS/R is used for problem sets. Through the provision of student PASS licenses, competency in the use of this leading software for study design is acquired. Prerequisites: S&DS 541 and S&DS 542 or equivalents, or permission of the instructor. T 3pm-4:50pm