3 papers
stat.ME2025
Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
Sourabh Balgi, Marc Braun, Jose M. Peña +1
We propose a novel method for sensitivity analysis to unobserved confounding in causal inference. The method builds on a copula-based causal graphical normalizing flow that we term…
stat.ME2025
Navigating Unmeasured Confounding in Quantitative Sociology: A Sensitivity Framework
Cheng Lin, Jose M. Pena, Adel Daoud
Unmeasured confounding remains a critical challenge in causal inference for the social sciences. This paper proposes a sensitivity analysis framework to systematically evaluate how…
stat.ME2024
-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
Sourabh Balgi, Jose M. Peña, Adel Daoud
We propose a novel sensitivity analysis to unobserved confounding in observational studies using copulas and normalizing flows. Using the idea of interventional equivalence of stru…