Introduction | When to Use IPTW | Key Assumptions | Basic IPTW Analysis | Step 1: Calculate IPTW Weights | Step 2: Check IPTW Assumptions | Step 3: Visualize Balance | Step 4: Estimate Causal Risk Difference | Different Types of Causal Effects | Average Treatment Effect (ATE) | Average Treatment Effect on the Treated (ATT) | Average Treatment Effect on the Controls (ATC) | Causal Number Needed to Treat | NNT for Different Causal Estimands | Advanced Options | Bootstrap Confidence Intervals | Different Propensity Score Models | Weight Stabilization and Trimming | Troubleshooting Common Issues | Poor Balance | Extreme Propensity Scores | Model Specification | Sensitivity Analysis | Best Practices | Reporting IPTW Results | Conclusion | References

Why Risk Differences Matter in Public Health | Understanding the Example Data | Your First Risk Difference Analysis | Understanding the Output | Interpreting Risk Differences | Adjusted Analyses | Stratified Analysis | Visualizing Your Results | Number Needed to Treat (NNT) | Common Pitfalls and Solutions | 1. Model Convergence Issues | 2. Very Rare Outcomes | 3. Missing Data | Quick Reference | Basic Syntax | Interpretation Guide | When to Use Risk Differences | Next Steps | Getting Help