Definition: Suppose a certain treatment of a patient has no effect. If one runs a test of
statistical significance on enough randomly selected subsets of the patient
base, one would find some subsets in which statistically significant
differences were apparently distinguished by the treatment.
The Bonferroni criterion is a redefinition of the statistical signficance
criterion for the testing of many subgroups: e.g. if there are five subgroups
and one of them shows an effect of the treatment at the .01 significance
level, the overall finding is significant at the .05 level.
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