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Bonferroni vs. FDR: Multiple Hypothesis Testing in Biomedical Data
Running 10,000 gene expression tests? You might get 500 false positives by random chance. This is the "multiple hypothesis testing problem," and it's a critical flaw in modern biomedical research. The traditional fix, the Bonferroni correction, is so strict it often causing you to miss real discoveries. But a more powerful, modern method—the False Discovery Rate (FDR)—offers a revolutionary trade-off: what if you could control the proportion of false positives, not just the c
Nov 174 min read
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