Comprehensive Causal Platform
Propensity Score Matching
PSM: Reduce selection bias by matching units with similar treatment probabilities using logistic regression.
Mahalanobis Distance
MDM: achieve covariate balance by matching on multivariate distance across all dimensions.
Synthetic Controls
SCM: Construct a synthetic counterfactual unit from a weighted combination of control units.
G-Computation
G-Comp: Estimate treatment effects by modeling the outcome mechanism directly.
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Start Your Analysis
Upload a CSV file containing your unit IDs, time periods, treatment, and outcome data.
Professional Grade Diagnostics
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Love Plots
Visualize covariate balance before and after matching.
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Placebo Tests
Verify results by testing on pre-intervention periods.
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Descriptive Trends
Interactive parallel trends visualization.
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PCA visualizer
2D projection of match quality using Principal Components.