Andrew Heiss • 2/25/2020

Ways to close backdoors in DAGs

Read Original

This technical article details practical methods for closing confounding backdoors in Directed Acyclic Graphs (DAGs) to establish causal relationships from observational data. It covers techniques such as regression, inverse probability weighting, and matching, framed within the context of modern causal inference and do-calculus. Aimed at practitioners, it includes resources for learning DAGs and is implemented with R and related tools.

0 comments
#Causal Inference #Dag #Regression
Ways to close backdoors in DAGs

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes