Production-style A/B testing with binomial GLMs (logit/probit): covariate adjustment, marginal ATE/risks, cluster-robust SEs, and Brier-score calibration.
python statistics reproducible-research calibration logistic-regression ab-testing causal-inference probit risk-ratio risk-difference covariate-adjustment randomized-experiments average-treatment-effect brier-score binomial-glm marginal-predictions cluster-robust-standard-errors user-level-clustering sandwich-se
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Updated
Oct 1, 2026 - Python