Calculate FDR Adjusted P-values in Python - Benjamini Hochberg Procedure

I show how to implement the False Discovery Rate (FDR) adjustment, also known as the Benjamini-Hochberg Procedure, to a list of p-values to determine the subset of p-values (p-adjusted values) that are are more likely to be true positives and eliminate Type 1 errors from your statistical analysis. Link to Github repo: https://github.com/vastevenson/fdr-adj-p-val-demo-vs/blob/main/app.py

Видео Calculate FDR Adjusted P-values in Python - Benjamini Hochberg Procedure канала Vincent Stevenson