Andrew Heiss • 9/7/2021

Do-calculus adventures! Exploring the three rules of do-calculus in plain language and deriving the backdoor adjustment formula by hand

This technical blog post provides an accessible exploration of do-calculus, a framework for causal inference using Directed Acyclic Graphs (DAGs). It explains the three core rules in plain language and demonstrates a step-by-step, manual derivation of the backdoor adjustment formula, which is used to estimate causal effects from observational data. The content is aimed at those with a basic understanding of DAGs and causal inference.

0 comments

#R #Causal Inference #Dag