cluster-randomization

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firefly1248 / causal-inference-for-llm-rollouts

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 econometrics 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

Updated Jun 22, 2026
Jupyter Notebook

R3n0va / synthetic-accounting-ab-testing

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Experimentation framework for synthetic accounting data with seven statistical designs, reproducible assignments, causal analysis, guardrails, power checks, and decision reporting.

bootstrap statistics sql postgresql experimentation survival-analysis logistic-regression ab-testing causal-inference synthetic-data negative-binomial factorial-design cuped non-inferiority accounting-analytics cluster-randomization

Updated Aug 3, 2026
Python

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