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A volcano plot comparing significance vs. fold change for these data is displayed in Figure 1.
The error of comparing significance levels without directly testing their difference is said to be especially common in the neuroimaging literature,.
The consequences of this should not be understated, the effect has been demonstrated in both surveys [ 50] and an empirical study comparing significance levels in published and non-published studies of the same topic [ 51].
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Our data were analyzed with one-way analysis of variance (ANOVA) using the statistical package for the social science (SPSS) program, version 11 followed by least significant difference (LSD) to compare significance between groups (Armitage & Berry, 1987).
Data were expressed as means±SEM and appropriate tests done to compare significance of difference in means (Student's t test and multiple comparisons, respectively).
Analysis of variance (ANOVA) test was used to compare significance between groups and post hoc test (least significance difference [LSD]) was used to compare significance within each variable.
The log-rank test was used to compare significance of differences between the curves.
This was achieved to compare significance between untreated versus trehalose, and untreated versus rapamycin treatments.
To analyse tumour growth, unpaired Student's t-test was used to compare significance between groups.
Unpaired Student's t-test for asymmetric n values was used to compare significance of difference between means of myosin Va deficiency with WT samples.
This scaling was necessary to compare significance values between the two read count methods, as the magnitude of the binomial test statistic is influenced by sample size.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com