Public health research often entails asking and trying to answer questions about the causes of health outcomes. Answers to such causal questions require us to combine data (e.g., from randomized trials or observational studies) with assumptions to infer causal effects. This course will teach students to think critically and rigorously about the implications of study design and analysis for addressing public health questions. Students will develop a rigorous understanding of the statistical foundations of causal inference approaches, including classical regression models and extensions. They will also be asked to draw upon their own research experiences and prior training to evaluate public health studies.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.