confoundvis: 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.
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