User Guide

• Introduction to DoWhy
  • The need for causal inference
  • Sample causal inference analysis in DoWhy
  • GCM-based inference (experimental)
• Effect inference
  • 1. Model a causal problem
  • 2. Identify a target estimand under the model
  • 3. Estimate causal effect based on the identified estimand
  • 4. Refute the obtained estimate
  • 5. Comparison to other packages
• GCM-based inference (Experimental)
  • Introduction
  • Answering Causal Questions
  • Generate samples from a GCM
  • Customizing Causal Mechanism Assignment
  • Estimating Confidence Intervals
  • Independence Tests
• Citing this package