A Python package for causal inference in quasi-experimental settings
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Updated
Sep 21, 2026 - Python
A Python package for causal inference in quasi-experimental settings
Quasi-experiment analytics platform: измерение причинного эффекта без A/B-теста (Diff-in-Diff, Event Study, Causal Impact, ITS, Forecast baseline, Anomaly Detection) — Streamlit + statsmodels
Difference-in-Differences analysis correcting inflated sponsored ad RoI using a natural experiment (Google ad outage).
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