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We tested the difference in the amount of captured voles per enclosure between E+ and E− grasses and also the difference in the belt crossings of voles/hour by using the exact Wilcoxon signed ranks test, and estimated the median difference and its 95% confidence interval (CI) by the Hodges-Lehmann procedure [32].
Bias was defined as the median difference and the median absolute difference as well.
In cases of non Gaussian statistical distribution, the median difference and non parametric Hodges-Lehman 95% CI are shown.
Note: The median difference and confidence intervals between patient and control groups was calculated using the Hodges-Lehmann estimator for ΔΔCt values, and a 2-ΔΔCt transformation to generate relative quantities.
For non-parametric data it included the Wilcoxon signed rank test for within-arm comparisons of median difference and the Kruskal-Wallis test for between arm comparisons of median difference.
Since there are outliers in the datasets as indicated in the box plots in Figure 1 and 2, we performed two non-parametric tests, the Wilcoxon test and the test for median difference, and obtained similar results (data not shown).
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Outcome measures were analyzed for statistical significance using Wilcoxon test for P values, the Hodges-Lehmann estimates for median differences, and 95% confidence intervals (CIs).
Median differences and their 95% confidence intervals are also quoted.
Median differences and their 95% CI are also reported.
Median differences and their 95% confidence intervals (CI) were calculated by exact Hodges Lehmann estimation.
Median differences and their 95% confidence intervals (CI) were determined by exact Hodges Lehmann estimation.
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