PAPSY103 Lecture Notes - Type I And Type Ii Errors, Family-Wise Error Rate, Multiple Comparisons Problem

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11 Oct 2022
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In statistic, the multiple comparison, multiplicity or multiple testing problems occurs when one considers a set of statistical inferences simultaneously or infers a subset of parameters selected based on the observed values. It is also known as the look-elsewhere effect. Multiple testing correlation refers to re-calculating probabilities obtained from a statistical test which was repeated multiple times. In order to retain a prescribed family-wise error rate. This is called the bonferroni correlation, and is one of the most commonly used approaches for multiple comparisons: methods where total alpha can be proved to never exceed 0. 05 ( or some other chosen value) under any conditions. Typically these methods require a significant anova/ tukey"s range test before proceeding to multiple comparisons.

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