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May 16, 2024
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CHS 713 - Epidemiology III (3 units)
Designed to provide a theoretical foundation and the practical tools necessary for addressing challenges to causal inference in epidemiological research.
Prerequisite(s): A Master of Public Health or related degree.
Units of Lecture: 3
Offered Every Fall
Student Learning Outcomes (if available):
Upon completion of this course:
1. Students will be able to assess challenges to causal inference.
2. Students will be able to examine models of causal inference, their assumptions, and their practical application to epidemiologic data.
3. Students will be able to apply analytical methods, such as regression calibration, propensity score adjustment, inverse probability weighting, instrumental variable methods, and marginal structural models.
4. Students will be able to construct and assess models for causal inference in the presence of repeated measures and time-varying exposures.
5. Students will be able to justify a theoretical basis of and analytic methods for using intermediate endpoints/surrogate markers.
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