A Python package for the statistical analysis of A/B tests
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Updated
Apr 2, 2026 - Python
A Python package for the statistical analysis of A/B tests
因果推理&AB实验相关论文小书库
Theory and implementatuon of various A/B experiments
AB testing, stattests, poisson bootstrap, cuped, linearization
Independent validation of Zetyra statistical calculators — 629 tests across GSD, CUPED, Bayesian, SSR, RAR, and Master Protocol (basket, umbrella, platform) calculators. Includes I-SPY 2, STAMPEDE, and REMAP-CAP trial replications.
Тыкаюсь в темах интенсива A/B-week от ШАДа
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Modern A/B experimentation utilities: CUPED/CUPAC hooks, triggered analysis, SRM, switchback helpers, and power sims.
Production A/B testing framework with Budget A/B, CUPED variance reduction, and sequential testing - DoorDash methodology
Educational projects on online experiments
A/B test lift simulation & analysis in Python: CUPED variance reduction, power analysis, and guardrail metrics with reproducible pytest CI.
Cost & Commercial Analytics — should-cost modeling, OCOGS tracking, make-vs-buy analysis, price elasticity, DoWhy causal inference, CUPED A/B testing (-55%) | 500 SKUs · 12 Plants · 5 Suppliers · 7 Countries | Enterprise: K8s + Helm + Terraform + MLflow | 209 tests
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