Spring 2020 STAT 41530

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

Office Hours: 

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.