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Familywise error rate

In statistics, family-wise error rate (FWER) is the probability of making one or more false discoveries, or type I errors when performing multiple hypotheses tests. In statistics, family-wise error rate (FWER) is the probability of making one or more false discoveries, or type I errors when performing multiple hypotheses tests. Tukey coined the terms experimentwise error rate and 'error rate per-experiment' to indicate error rates that the researcher could use as a control level in a multiple hypothesis experiment.

[ "False discovery rate", "Statistical hypothesis testing", "Multiple comparisons problem", "False coverage rate", "Holm–Bonferroni method", "Closed testing procedure", "Pocock boundary", "Benjamini-Hochberg Procedure", "Per-comparison error rate", "Šidák correction" ]
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