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Non-parametric Mann–Whitney test was performed for infection assays to assess statistical significance of data.
In order to assess statistical heterogeneity, the data were reanalyzed using both random- and fixed-effects models.
To assess statistical heterogeneity between summary data at trial level we used Cochran's Q statistic (P<0.10) and the I statistic (I>50%).
The chi-square test was used to assess statistical significance for the data presented in Table 3.
One-way ANOVA was used to assess statistical significance for certain data.
Mann-Whitney U test was applied to assess statistical significance of obtained data.
We used simulated data sets to assess statistical power and bias for MR when exposure data are available for a subset (or an independent set) of participants.
We use the ERD peak score to assess statistical significance when the cleaned data consist of only neural components.
Analysis of variance (ANOVA) is applied to process the data and assess statistical significance of subjective experiments.
The test is useful to assess statistical significant differences in ordinal data when two independent groups are compared, in this, case male and female responses (Pallant 2007).
Intensive small-N analysis, of for example actors in a specific country, can answer questions left unanswered by content analysis 'either because there were insufficient data to assess statistical relationships or because the nature of causal order could not be confidently inferred' (Lieberman, 2005, p. 440).
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