Summer Short Course "An Introduction to Causal Inference", June 3-7, 2019
Instructors: Miguel Hernán, Judith Lok, James Robins, Eric Tchetgen Tchetgen & Tyler VanderWeele
This 5-day course introduces concepts and methods for causal inference from observational data. Upon completion of the course, participants will be prepared to further explore the causal inference literature. Topics covered include the g-formula, inverse probability weighting of marginal structural models, g-estimation of structural nested models, causal mediation analysis, and methods to handle unmeasured confounding. The last day will end with a "capstone" open Q&A session with the instructors.
Prerequisites: Participants are expected to be familiar with basic concepts in epidemiology and biostatistics, including linear and logistic regression and survival analysis techniques. Tuition: $600/person, to be paid at the time of registration. A limited number of tuition waivers are available for students.
Date/Location: June 3-7, 2019 at the Harvard T.H. Chan School of Public Health.
Details and registration: https://www.hsph.harvard.edu/causal/shortcourse/
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Judith Lok
Associate Professor of Mathematics and Statistics
Boston University
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