Graduate Prerequisites: Successful completion of EP854 (or permission of instructor for PhD students not in the department of epidemiology). Competency in SAS as demonstrated by successful completion of EP815, EP817, BS805, - This course will challenge students to think more deeply about the epidemiologic concepts they have learned in their methods courses and provide them with the skills to conduct simulation studies to be able to further their understanding of these concepts. Students will learn to simulate datasets from a directed acyclic graph (DAG) describing the problem or phenomenon of interest and learn how to vary the parameters of the simulation to gain a deeper insight into the problem. Students will also learn to derive the answers to questions about epidemiologic methods in cases where they do not know how to solve the problem analytically. This is a hands-on course where we spend most of the time programming simulations and discussing what we learn from them and many of the questions we seek to answer are ones posed by students in class.

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