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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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A/B testing & experimentation medium

Benjamini Hochberg FDR Correction in Python

Implement the Benjamini-HHochberg false discovery rate (FDR) procedure in Python to control the expected proportion of false positives among rejected hypotheses.

fdr multiple testing hypothesis testing
Python 
import numpy as np

def benjamini_hochberg(p_values, alpha=0.05):
    p_values = np.array(p_values)
    n = len(p_values)
    sorted_idx = np.argsort(p_values)
    sorted_p = p_values[sorted_idx]
    
    thresholds = (np.arange(1, n + 1) / n) * alpha
    significant = sorted_p <= thresholds
    
    if not significan…
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