The Section on Statistics in Epidemiology will sponsor the short course “Causal Inference and Its Application in Health Sciences” at the Joint Statistical Meetings. Instructors are Miguel Hernán of Harvard and Dylan Small of the Wharton School.
The first half of this short course, led by Hernán, presents a framework for causal inference from observational studies and recent methodological developments, with an emphasis on complex longitudinal data. The second half, led by Small, focuses on instrumental variable methods for causal inference in clinical trials and observational studies to control for unmeasured confounding. Software for structural models and instrumental variable methods will be discussed and real examples will be used for illustration.
Visit the JSM online program for details.
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