Why is multiple testing a big issue in biostatistics? In this video, we will explain why multiple testing is so dangerous when analysing large datasets, and how to correct for it. We will cover some of the most common methods: Bonferroni correction, Benjamini-Hochberg (BH) and q-values.
Don't let the monster of multiple testing eat your data!
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More multiple testing resources:
Check the difference between different multiple testing corrections in R:
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A really cool explanation of the FDR from Statquest!
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