The Bonferroni method is a statistical adjustment technique used to counteract the problem of multiple comparisons. When conducting multiple hypothesis tests, the chance of encountering a false positive increases, and Bonferroni addresses this by lowering the significance level for each test to control the overall error rate. This technique is particularly useful in post-hoc analysis, ensuring that findings are more reliable when numerous comparisons are made.
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