Introduction to MLCausal
Overview | 1. Simulate Clustered Data | 2. Estimate Propensity Scores | 3. Check Overlap | 4. Build Inverse Probability Weights | 5. Check Balance | 6. Estimate the ATT | 7. Sensitivity Analysis | Alternative: Dual-Balance Matching | Summary