ADVANCED EPIDEMIOLOGY: CAUSAL INFERENCE IN EPIDEMIOLOGICAL STUDIES
Focuses on the use of viewpoints and design/analytical tools to render possible the estimation of causal effects in epidemiologic studies. Students learn about the rationale and use of study designs/analytic tools that build upon but are substantially different from the most common approaches used in epidemiologic research (experimental studies, case-control studies, and cohort studies).
Prerequisites & course information
Requisites: SOC/POP HLTH 797 and POP HLTH 798 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Demonstrate a good understanding of the main features of the counterfactual model as a base for causal inferences in epidemiological research. Audience: Graduate 2. Identify assumptions needed for causal inference and assess whether they are sufficient to allow the estimation of causal effects from available data. Audience: Graduate 3. Understand and use design and analytic strategies that help in the estimation of causal effects. Audience: Graduate 4. Demonstrate a good understanding of the main features of the counterfactual model as a base for causal inferences in epidemiological research. Audience: Graduate 5. Identify assumptions needed for causal inference and assess whether they are sufficient to allow the estimation of causal effects from available data. Audience: Graduate 6. Understand and use design and analytic strategies that help in the estimation of causal effects. Audience: Graduate Learning Outcomes: 1. Demonstrate a good understanding of the main features of the counterfactual model as a base for causal inferences in epidemiological research. Audience: Graduate 2. Identify assumptions needed for causal inference and assess whether they are sufficient to allow the estimation of causal effects from available data. Audience: Graduate 3. Understand and use design and analytic strategies that help in the estimation of causal effects. Audience: Graduate 4. Demonstrate a good understanding of the main features of the counterfactual model as a base for causal inferences in epidemiological research. Audience: Graduate 5. Identify assumptions needed for causal inference and assess whether they are sufficient to allow the estimation of causal effects from available data. Audience: Graduate 6. Understand and use design and analytic strategies that help in the estimation of causal effects. Audience: Graduate
Sources
- Course catalogue ↗2026-2027