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A non-parametric effect-size measure capturing changes in central tendency and data distribution shape

MOTIVATION: Calculating the magnitude of treatment effects or of differences between two groups is a common task in quantitative science. Standard effect size measures based on differences, such as the commonly used Cohen's, fail to capture the treatment-related effects on the data if the effec...

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Pubblicato in:PLoS One
Autori principali: Lötsch, Jörn, Ultsch, Alfred
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7514071/
https://ncbi.nlm.nih.gov/pubmed/32970758
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239623
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