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- Title
A note on the use of the non-parametric Wilcoxon-Mann- Whitney test in the analysis of medical studies.
- Authors
Kühnast, Corinna; Neuhäuser, Markus
- Abstract
Background: Although non-normal data are widespread in biomedical research, parametric tests unnecessarily predominate in statistical analyses. Methods: We surveyed five biomedical journals and - for all studies which contain at least the unpaired t-test or the non-parametric Wilcoxon-Mann-Whitney test - investigated the relationship between the choice of a statistical test and other variables such as type of journal, sample size, randomization, sponsoring etc. Results: The non-parametric Wilcoxon-Mann-Whitney was used in 30% of the studies. In a multivariable logistic regression the type of journal, the test object, the scale of measurement and the statistical software were significant. The non-parametric test was more common in case of non-continuous data, in high-impact journals, in studies in humans, and when the statistical software is specified, in particular when SPSS was used.
- Subjects
MEDICAL research; MEDICAL literature; MULTIVARIATE analysis; REGRESSION analysis; STATISTICAL sampling; SAMPLE variance; CLINICAL trials; MEDICAL journalism; MATHEMATICAL statistics
- Publication
GMS German Medical Science, 2008, Vol 6, p1
- ISSN
1612-3174
- Publication type
Article