IPW Diagnostics
Assess inverse probability weight distributions
Weight Data
Enter weights separated by commas, spaces, or newlines
Paste weights from R or enter manually
Cap weights at this value (leave empty for no truncation)
Enter weights and click analyze to see diagnostics
Key Metrics
ESS: Effective sample size accounting for weights
CV: Coefficient of variation (SD/mean × 100)
Rule of thumb: ESS ratio >50% and CV <100%
Learn More About IP Weighting
Inverse probability weighting creates a pseudo-population where confounding is eliminated. Proper weight diagnostics are essential for valid inference.