25.012 - Propensity Score Matching Using R

Session Type: Professional Development Course

Abstract

Through lectures and hands-on activities, this mini-course will introduce basic concepts of propensity score matching and the use of R packages for propensity score matching. This course is appropriate for faculty members, graduate students, and applied researchers. Participants will learn why and when we need propensity score matching and how to perform propensity score matching using R packages. Instructions for downloading and installing R software and related packages as well as example datasets will be provided to participants in advance through a course website. No prior knowledge of R or propensity score matching is required, but a basic understanding of research design, t-test, and logistic regression is desirable. Participants are encouraged to bring their own laptop computers for hands-on activities.

Sub Unit

• Professional Development and Training Committee

Instructors

• Haiyan Bai, University of Central Florida

• Wei Pan, Duke University

• Christopher M. Swoboda, University of Cincinnati