Zero-to-hero notebooks on causal inference and experimentation for global LLM rollouts: synthetic control, difference-in-differences, propensity scores, regression discontinuity, cluster randomization.
python jupyter matching experimentation ab-testing sensitivity-analysis causal-inference synthetic-control event-study propensity-score difference-in-differences regression-discontinuity doubly-robust treatment-effect inverse-probability-weighting cluster-randomization
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Updated
Jun 22, 2026 - Jupyter Notebook