Methods for inferring Causality

Matching, Propensity Weighing, Doubly Robust ML, Regression Discontinuity Design

In our previous article Part 1: Getting started with Causal Inference, we covered the basics of causal inference and gave a lot of attention to Regression. We also discussed that regression is the not only way to close backdoors in causal estimation design. In this article, we are going to discuss some other methods, all aiming to achieve the same thing, that is, …

causal inference causality data science dowhy regression-discontinuity