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Statistical modelling of pairwise comparison data equips researchers with tools to infer relative strengths or preferences among items by analysing outcomes of binary comparisons. Classical approaches ...

In machine learning, it is often necessary to statistically compare the overall performance of two algorithms (e.g., our proposed algorithm and each compared baseline) based on multiple benchmark ...

Efficacy and safety are the two considerations when characterising the effects of a new therapy. We sought to apply an innovative method of assessing the benefit–risk balance using data from a ...

When comparing more than two means, an ANOVA F-test tells you whether the means are significantly different from each other, but it does not tell you which means differ from which other means.