Presented by Ellie Murray, ScD, MPH, MS
Assistant Professor of Epidemiology
Boston University, School of Public Health
Many of the most interesting and important epidemiologic questions are complex, involving multiple components, feedback over time, and interactions between people and their environments. These questions often cannot be directly answered with available epidemiologic methods, but novel causal inference methods provide tools that can help. One of the key insights that causal inference brings is to focus our research on questions that will drive action – policy change, patient care decisions, or clearer next step research questions. In this talk, Dr. Murray will discuss the types of epidemiologic questions that are too complex for traditional methods, how a causal inference perspective can help frame questions that will lead to action, and how we can structure our analyses both when we have good data and when we don’t have good data to learn something useful in answer to these questions.
Everyone is welcome to attend.