1 Introduction  
1.1 Running Example: 2020 U.S. Presidential Election  

2 Notation and Set-up  
3 Bias in Weighted Estimators  
3.1 Derivation  
3.2 Interpreting the Drivers of Bias  
3.3 Performing Sensitivity Analyses  

4 Sensitivity Analysis for Partially Observed Confounders  
4.0.1 Running Example: 2020 U.S. Presidential Election  

5 Sensitivity Analysis for Fully Unobserved Confounders  
5.1 Numerical Summary: Robustness Value  
5.2 Graphical Summary: Bias Contour Plots  
5.3 Formal Benchmarking  

6 Concluding Remarks