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multiple statistical comparisons

— The application of many tests of the statistical significance of associations when analysing the results of a study

Full explanation:

Multiple statistical comparisons (many tests of association) on the results of a study increase the likelihood of one or more associations (e.g. between a treatment and an outcome) having a low p-value (probability of having occurred by chance) when, in fact, the association did occur by chance.

Multiple statistical comparisons increase the likelihood of attributing a difference to a treatment effect when chance is the more likely explanation. This mistake is sometimes referred to as a Type 1 error.

See also:

Type 1 error

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