Quasi-Experimental

Health Policy Impact Causal Evaluation Lab

Empirical research workbench for natural experiments & health policy funding diagnostics
Estimated ATT Effect
-8.42%
95% CI: [-10.8%, -6.0%]
Parallel Trends (Placebo Test)
p = 0.428
No pre-trend divergence
Statistical Power (1 - β)
91.4%
Adequately powered (≥80%)
Annual Adverse Events Avoided
14,280
Per 1M Target Cohort
Longitudinal Trajectory & Counterfactual Synthetic Baseline
Quarterly timeline demonstrating pre-intervention parallel trajectory and post-enactment causal divergence
Observed Treated Unit
Counterfactual Synthetic Path
Policy Intervention T₀
Event-Study Dynamic Leads & Lags (Placebo Diagnostics)
Pre-policy estimates should hover near zero; post-policy demonstrates lagged causal build-up.
Statistical Power Sensitivity Curve
Power across varying effect sizes under current cluster count & noise parameters.
NIH & Nature Research Protocol Package Ready
Simulated panel dataset complies with open reproducible health economics standards.
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