Understanding Confounding Effects
Visual exploration of how confounders distort observed relationships, illustrated through simulated data and directed acyclic graphs (DAGs).
DAGSimulationBias
Causal Inference Showcase
Why is everything happening? What if the facts were different? Explore key ideas of causal inference — from confounding and interventions to counterfactual reasoning. **This page is under active development.**
The Backdoor Criterion
Graphical method to identify valid adjustment sets for causal effect estimation, implemented via Python network analysis.
IdentificationGraph TheoryAdjustment
Counterfactual Reasoning and Intervention
Exploring do-calculus and counterfactual worlds: how outcomes change when we intervene on X rather than observe it.
Do-CalculusInterventionPhilosophy