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Observational causal analysis

Use observational data to investigate causal questions while making assumptions visible.

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Where this chapter sits in the course

Lessons

Chapter 27 of 30 · 7 short lessons · 29 min
  1. 1Confounding and causal diagrams4 min
  2. 2Mediators and colliders4 min
  3. 3Stratified causal comparisons4 min
  4. 4Overlap and common support4 min
  5. 5Difference-in-differences4 min
  6. 6Limits of observational causal analysis3 min
  7. 7Challenge: Observational causal analysis6 min

What you'll learn

  • Identify confounding and choose adjustment variables
  • Apply stratified and difference-in-differences comparisons
  • Assess overlap and qualify causal claims

Your plan from this chapter

It follows the course from here, at your pace, with reviews before you forget.

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