Sensitivity analysis for causal effects under unmeasured confounding

We propose interpretable bounds and graphical diagnostics that quantify how robust an estimated causal effect is to unmeasured confounding. (Example entry — replace with your own paper.)

Recommended citation: Reyes, M., & Carter, E. (2024). "Sensitivity analysis for causal effects under unmeasured confounding." Biometrika.