VICTOR KILANKO
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  • The Causal Inference Curriculum
  • The Author
  • The Causal Inference Curriculum
    • Preface
      • Chapter 1. Counterfactuals and Potential Outcomes
      • Chapter 2. Randomization and Selection Bias
      • Chapter 3. Conditional and Unconditional Parallel Trends
      • Chapter 4: Directed Acyclic Graphs (DAGs)
      • Chapter 5: Matching
      • Chapter B5:A/B Testing Playbook
      • Chapter 6: Difference-in-Differences (DiD)
      • Chapter 7: The Synthetic Control Method
      • Chapter 8: Regression Discontinuity Design (RDD)
      • Chapter 9: New Frontiers in Causal Inference (2019 onward)
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The Causal Inference Curriculum

The Roadmap to Understanding, Implementing, and Applying Causal Inference

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Last updated 3 months ago