Course: STAT 41530
Title: Topics in Causal Inference
Instructor(s): Jingshu Wang
Teaching Assistant(s): TBA
Class Schedule: Sec 01: MW 10:30 AM–12:20 PM in Jones 226
Description: We will start with a light and comparative introduction of two causal inference languages: the potential outcome model and the graphical representation of causal effects. In the course, we will discuss topics including confounding, instrumental variables (IV), mediation analysis, and effective treatment allocations, with their applications in genetics and epidemiological research.