CQS Summer Institute- Introduction to Causal Inference

1 credits · Graduate School

Many are familiar with the phrase “correlation does not imply causation,” but that then begs the question: what exactly is causation in the first place? In this five-day short course, we will introduce fundamentals of causal inference approaches. The first three days will provide an overview of commonly implemented causal inference methods, including standardization, matching, inverse-weighting, and instrumental variables. The fourth day will focus on methods for longitudinal data, and the fifth day will address miscellaneous topics, including sensitivity analyses and causal inference with survival outcomes. Throughout the course, emphasis will be placed on graphical representation of variables through “directed acyclic graphs” (i.e., DAGs) and software implementation. [1]