Visualization Tools for Sensitivity Analysis of Unmeasured Confounding // Provides visualization tools for sensitivity analysis to unmeasured confounding in observational studies. Includes contour-based sensitivity plots, robustness curves, and benchmark-oriented graphics that help researchers assess how strong omitted confounding would need to be to attenuate, invalidate, or reverse estimated effects. Supports regression- based sensitivity analysis frameworks, including impact threshold approaches (Frank, 2000, doi:10.1177/0049124100029002001), partial R-squared methods (Cinelli and Hazlett, 2020, doi:10.1111/rssb.12348), and E-value style metrics (VanderWeele and Ding, 2017, doi:10.7326/M16-2607). Emphasizes clear, interpretable, and publication-ready graphical summaries for transparent reporting of causal sensitivity analyses across the social, behavioral, health, and educational sciences.