This valuable study tests a methodology for the discovery of new honey bee-repellent odorants via machine learning. The conclusions of the study are supported by solid evidence, with predicted ...

differences in the GETS and SDR scores by Wilcoxon test for non-parametric data. All calculations were done with SPSS™ ver.20 statistical software.

Introduction Cam morphology is a strong risk factor for the development of hip pain and osteoarthritis. It is increasingly thought to develop in association with intense physical activity during youth ...

Introduction The impact of sex on coronary artery disease prognosis is debated. It has been postulated that women receive ...

This study used a significance level of 0.05 (5%) and 95% confidence intervals. Nonparametric statistical tests were used (Mann–Whitney test, Wilcoxon test, McNemar test, Kappa and Spearman ...

All data are presented as mean (SD) or as frequencies (n (%)). Comparisons of means were performed with the non-parametric Wilcoxon test, comparisons of frequencies with the χ 2 or Fisher exact tests.

The research question was clearly defined, and we utilized appropriate statistical methods, including the Wilcoxon rank-sum test ... the data and using the appropriate non-parametric statistical test ...

The median absorbed dose was 136 Gy for responders and 40 Gy for non-responders. The statistical significance was tested using the nonparametric Wilcoxon test (p < 0.001). See boxplot on Figure 4A.

Change in drug use was evaluated by the McNemar test, change in the number of drugs by the Wilcoxon non-parametric test, and change in drug dosage by paired t tests. A binomial logistic regression ...

Non-normally distributed data were analysed using Wilcoxon signed rank test for paired samples ... using analysis of variance with repeated measures or Friedman test for non-parametric data.