A Python package for the statistical analysis of A/B tests
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Jun 7, 2026 - Python
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因果推理&AB实验相关论文小书库
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Mar 12, 2023
Causalis - State-of-the-art robust causal inference for experiments and observational data in python
python data-science machine-learning statistics ai dml rct econometrics experimentation ab-testing gate causal-inference synthetic-control uplift-modeling causalml pydantic difference-in-differences cuped double-machine-learning
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Jun 9, 2026 - Python
Theory and implementatuon of various A/B experiments
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Jun 9, 2020 - Jupyter Notebook
AB testing, stattests, poisson bootstrap, cuped, linearization
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Apr 23, 2023 - Jupyter Notebook
Воспроизводимые эксперименты по снижению дисперсии оценки эффекта: plain diff, CUPED, VWE и их комбинация.
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Apr 9, 2026 - Python
A/B testing statistics, design, increasing sensitivity, multiple experiments comparison, traffic splitting and full A/B testing pipeline in Python
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Sep 9, 2023 - Jupyter Notebook
896 tests / 42 scripts validating Zetyra calculators (GSD, CUPED, Bayesian, SSR incl. Single-Arm, RAR, Master Protocol). Replicates 8 published trials (Salk, DAPA-HF, PACIFIC, MONALEESA-7, I-SPY 2, STAMPEDE, REMAP-CAP, NCT03377023) + Leyrat 2024.
python r validation monte-carlo fda biostatistics clinical-trials bayesian sample-size oncology adaptive-design prior-elicitation cuped group-sequential-designs basket-trial master-protocol statistical-validation bayesian-toolkit platform-trial nct03377023
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May 15, 2026 - Python
An end-to-end A/B testing program review: 6 experiments, 2 ships, and the decision-quality framework behind them
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Apr 15, 2026 - Jupyter Notebook
Тыкаюсь в темах интенсива A/B-week от ШАДа
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Aug 13, 2025 - Jupyter Notebook
A Python package for the full A/B test lifecycle, from power analysis to sequential monitoring and variance reduction
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May 18, 2026 - Python
End-to-end A/B experimentation toolkit: experiment readouts, MDE & power calculations, CUPED variance reduction, and decision-focused reporting in a Big Tech economist style.
python econometrics experimentation ab-testing causal-inference mde power-analysis cuped big-tech-economist
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Jan 14, 2026 - HTML
A/B test lift simulation & analysis in Python: CUPED variance reduction, power analysis, and guardrail metrics with reproducible pytest CI.
python statistics pandas pytest scipy experimentation ab-testing srm causal-inference power-analysis github-actions cuped
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Nov 16, 2025 - Python
Local-first experimentation and causal decision platform for A/B testing, CUPED, trust checks, segment-aware rollout policy, and simulation-driven validation.
python simulation experimentation ab-testing causal-inference uplift-modeling fastapi streamlit feature-evaluator cuped duckdb
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May 17, 2026 - Python
Production-simulated experimentation, metrics intelligence, CUPED/guardrail decisioning, and streaming observability platform.
streaming metrics experimentation ab-testing data-quality decision-science anomaly-detection product-analytics fastapi cuped
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May 16, 2026 - Python
Experimentation and causal inference platform for product decision systems, implementing A/B testing, CUPED variance reduction, and Difference-in-Differences analysis with reproducible pipelines.
ab-testing causal-inference product-analytics difference-in-differences experimentation-platform cuped
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Feb 20, 2026 - Jupyter Notebook
Modern A/B experimentation utilities: CUPED/CUPAC hooks, triggered analysis, SRM, switchback helpers, and power sims.
python statistics experimentation ab-testing srm causal-inference variance-reduction power-analysis cuped switchback
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Apr 17, 2026 - Python
Production A/B testing framework with Budget A/B, CUPED variance reduction, and sequential testing - DoorDash methodology
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Feb 1, 2026 - Python
End-to-end A/B testing framework — power analysis, SRM checks, CUPED variance reduction, BH-corrected segment breakouts, and an auto-generated ship/no-ship decision doc. Built on a 60k-user synthetic checkout experiment.
python bootstrap data-science statistics experimentation data-analysis ab-testing hypothesis-testing statsmodels causal-inference power-analysis cuped
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May 22, 2026 - Python
A/B testing project comparing difference-in-means vs CUPED on the Hillstrom email experiment.
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May 7, 2026 - Jupyter Notebook
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