Finding Causality in Large Data Using Propensity Score Matching

1:30 pm - 4:00 pm
Expo Hall/Career Fair

Objective: Inspiration
Audience Level: All
Session Type: Poster

PSM is an emerging statistical technique to study the causal effect of an intervention on a particular outcome. This talk will provide an overview of causal inference techniques and suggest strategies for making it part of the data scientist's toolkit. The talk entails a Python toolkit, available on GitHub, as a practical tool for researchers to conduct causal inference.


Shirin Mojarad, Senior Data Scientist, McGraw Hill Education