In statistics, nonparametric tests serve as an alternative to parametric tests such as T-test or ANOVA that do not require a distribution to meet the required assumptions to be analyzed. In order to achieve the correct results from the statistical analysis, we should know the situations in which the application of nonparametric tests is appropriate. The aim of this workshop is to provide theoretical and practical guidance on the analysis of non-parametric data in R. The workshop will cover several nonparametric tests such as Wicoxon signed rank test, Mann-Whitney test, Kruskal-Wallis test, and Spearman correlation with applications in R.
Dr. Eliana Ibrahimi, Lecturer and Researcher in Biostatistics-University of Tirana - Albania
Dr. Loumpiana Koulai, Statistics Associate Director, AstraZeneca - United Kingdom
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