The Workshop on Causal Inference with professor Miguel Hernán

The Workshop on Causal Inference with professor Miguel Hernán took place on the 4th of April at the Jacobs Center for Productive Youth Development.

Miguel is a professor of Biostatistics and Epidemiology at Harvard Chan School of Public Health and a member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology.

His research is focused on learning what works to improve human health. His work has been published in journals such as the  New England Journal of Medicine or the Lancet. In his research, he focuses on the methodology for causal inference, including the comparative effectiveness of policy and clinical interventions. He recently published the book "Causal Inference: What If" Together with James. M. Robins.

In the Worksop on Causal Inference at the Jacobs Center, Professor Miguel Hernán gave a lecture on causal diagrams. Causal diagrams have revolutionized how researchers ask: What is the causal effect of X on Y? By summarizing and communicating assumptions about the causal structure of a problem, causal diagrams have helped clarify apparent paradoxes, describe common biases, and identify adjustment variables. As a result, a sound understanding of causal diagrams is becoming increasingly important in many scientific disciplines. Causal diagrams will be helpful for our future interdisciplinary research discussions at the Jacobs Center!

Miguel Hernán webpage: https://www.hsph.harvard.edu/miguel-hernan/
Twitter account: @_MiguelHernan