2019
DOI: 10.1007/s10463-019-00717-3
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Nonparametric MANOVA in meaningful effects

Abstract: Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify main and interaction effects in metric multivariate multi-factor data. It is, however, neither robust against change in units nor a meaningful tool for ordinal data. Thus, we propose a novel nonparametric MANOVA. Contrary to existing rank-based procedures we infer hypotheses formulated in terms of meaningful Mann-Whitney-type effects in lieu of distribution functions. The tests are based on a quadratic form in m… Show more

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Cited by 28 publications
(17 citation statements)
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References 48 publications
(63 reference statements)
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“…Most of them control the type-1 error rate accurately with large sample sizes only and, indeed, they show a very liberal or conservative behavior when sample sizes are small. This observation holds for a variety of statistical procedures designed for different questions and fields, including analysis of variance methods 24,37 as well as multiple contrast test procedures using maximum ttest type statistics 38,39 for repeated measures and multivariate data. When the number of comparisons is "small" compared to the sample sizes, approximate and exact methods are available.…”
Section: Discussion and Outlookmentioning
confidence: 86%
“…Most of them control the type-1 error rate accurately with large sample sizes only and, indeed, they show a very liberal or conservative behavior when sample sizes are small. This observation holds for a variety of statistical procedures designed for different questions and fields, including analysis of variance methods 24,37 as well as multiple contrast test procedures using maximum ttest type statistics 38,39 for repeated measures and multivariate data. When the number of comparisons is "small" compared to the sample sizes, approximate and exact methods are available.…”
Section: Discussion and Outlookmentioning
confidence: 86%
“…The details are given in Konietschke et al (2012) and Brunner et al (2017). For multivariate designs, see Dobler et al ., (2020) and Umlauft et al (2019).…”
Section: Explanation Of the Surprising Resultsmentioning
confidence: 97%
“…Acion et al , 2006; Thas et al , 2012), Mann–Whitney & Wilcoxon effect (e.g. Janssen, 1999; Chung & Romano, 2016; Dobler et al , 2020) or stress–strength characteristic (e.g. Kotz et al , 2003).…”
Section: Statistical Model and Notationsmentioning
confidence: 99%
“…Due to the ordinal data level, expression scores were compared by median and interquartile range (IQR), and graphical representation was done by boxplots and scatterplots. Expression levels were compared in multivariate models per intestinal section by the nonparametric method of Dobler et al, including disease (CD, UC) vs. controls, age (pediatric vs. adults), and the interaction in all models [ 28 ]. p values of these three models were corrected using the Bonferroni method.…”
Section: Methodsmentioning
confidence: 99%