Minerva CS130 Statistical modeling and causal inference

• descriptive inference
• predictive inference
• causal inference
  • Rubin’s Causal Model
    • potential outcomes
      • observed outcome
      • counterfactual
    • assignment mechanism
    • SUTVA
    • individual treatment effect
      • sharp null hypothesis
    • average treatment effect
      • simple average treatment effect
      • average treatment effect for the treatment group (ATT)
      • average treatment effect for the untreated group
    • quantile treatment effect
  • observational studies - non-ignorable treatment assignment
    • control observed covariates
      • subclassification
      • matching
        • genetic matching
        • propensity score
    • account for unobserved variables
      • sensitivity analysis
  • synthetic control
  • encouragement design