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While IMT and cIMa did not differ between groups, we determined a difference in occurrence of atherosclerotic plaques (P = 0.029).
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For comparisons between two groups, we determined the significance of differences between means by t-tests.
Since miR-16 and SNORD44 levels were similar between two groups, we determined whether the differences in U6 and 5S levels between healthy subjects and patients with cancer retain statistical significance if miR-16 and SNORD44 are used as normalization controls.
Before examining the differences between AbN and T1D groups, we determined whether sex and sampling age of the subjects were potential confounding factors.
To accurately determine the expression differences between groups, we performed absolute quantification to determine the copy number of each miRNA per μl of serum.
Since qualitative data cannot be used to determine the prevalence of attitudes or beliefs in a population and since qualitative methods do not allow for statistical comparisons between groups, we designed a telelphone survey to determine which factors identified in our qualitative study were most important to older women's mammography screening decisions.
We compared continuous variables with repeated measure analysis of variance (ANOVA), and differences between groups were determined by Scheffe's test.
The reliability of the data collected across the 3 sessions and comparisons between groups were determined.
Differences between groups were determined using Student's t-test.
Differences between groups were determined by one-way ANOVA followed by Tukey test.
The statistical significance between groups was determined using either unpaired or paired tests.
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