Meet faculty, eat pizza, and learn about the concentration and secondary field in Statistics! Our concentration advisors will be there to answer questions, and look forward to meeting you!
Classical approaches to causal inference largely rely on the assumption of “lack of interference”, according to which the outcome of an individual does not depend on the treatment assigned to others. In many applications, however, such as designing and evaluating the effectiveness of healthcare interventions that leverage social structure, assuming lack of interference is untenable...
