Comprehensive Framework for Detecting and Measuring Confounding Effects Using Causal Mechanism Shifts

This work proposes a comprehensive framework for detecting and measuring confounding effects among variables, including separating observed and unobserved confounding, and assessing the relative strengths of confounding between different variable sets. The framework leverages data from multiple contexts where causal mechanisms of variables have shifted.