Analytic Methods IV: Non-randomized Designs

3 credits · Graduate

This course is the second in a 2-semester series covering non-randomized study designs that rely on advanced regression models. Students will learn how to use non-randomized designs, such as difference-in-differences, to support causal inference. Students will use statistical software to estimate and interpret regression-based treatment effects. The course will culminate in a term paper where students will independently use observational data to address a research question. At the end of this course, students will understand key assumptions, strengths, and limitations of non-randomized designs and apply these tools to answer population health research questions. Recommended prerequisite: POPHS 903.