Causal Inference DAG & Adjustment Workbench Kirk Borne Edition

Tip: Click any non-T/Y node to toggle Conditioning (Adjustment). Drag nodes to reposition.
T (Treatment) Y (Outcome) Conditioned {Z}
True Causal ATE (β)
1.50
Naive Correl. (Observed)
3.48
Adjusted ATE Estimate
1.52
Identifiability Status
IDENTIFIED

Backdoor Paths & D-Separation

Minimal Sufficient Adjustment Sets

{ U }

Live SCM Monte Carlo (N=1000)

Observational: E[Y | T=1] - E[Y | T=0] = +3.48
Interventional: E[Y | do(T=1)] - E[Y | do(T=0)] = +1.50
Adjusted: E_Z[ E[Y | T=1, Z] - E[Y | T=0, Z] ] = +1.52
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