Advanced Causal Inference and Impact Analysis Framework

Create a sophisticated causal inference platform in Python capable of rigorously analyzing complex intervention effects using advanced statistical techniques. Implement state-of-the-art causal modeling approaches, including propensity score matching, instrumental variable analysis, and counterfactual prediction models. Design a flexible system supporting multiple causal inference methodologies, comprehensive uncertainty quantification, and interactive result exploration.