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Standard deviations of the means in quantitative RT-PCR experiments were obtained from three independent experiments.
The differences in demographic and clinical characteristics between groups were calculated by comparison of means in quantitative variables, parametric or nonparametric according to the normal distribution of each variable, and contingency tables for qualitative variables, with a Yates correction when necessary.
We will evaluate the bivariate relation between the score of each of the scales with the remaining variables defined using analysis of variance for the differences between means in quantitative and categorical variables and the χ test for comparisons of proportions in two categorical variables.
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Specifically, the t-test was conducted to test for a mean difference in quantitative demographic variables and miRNA expression level between two categories of coronary disease status.
It deserves mention that positive findings were not replicated in other studies evaluating these loci (16, 34, 38), but outcomes (mean change in quantitative traits, achievement of HbA1c <7% (53 mmol/mol) versus diabetes risk in the DPP) and follow-up time (6 to 18 months vs. 3 years in the DPP) differed in the other studies as well as did study design.
With it, a threatened total collapse of the banking system was avoided, economies were—eventually able to stabilise and, with a few notable exceptions in southern Europe, unemployment rates remained well below those seen during the Great Depression.Its unconventional nature, however, means that quantitative easing is, in essence, an experimental policy.
This means that quantitative Se removal in Fe0/H2O systems would have been rationalized by reduction of SeVI to SeIV.
In simple terms analytics means using quantitative methods to derive insights from data, and then drawing on those insights to shape business decisions and, ultimately, improve business performance.
In particular, observing system simulation experiments (OSSEs) offer a means for quantitative evaluation of sampling design.
Sample sizes in qualitative studies (n = 14) varied from four patients to 84 (mean 24 participants), and in quantitative studies (n = 18) from 17too 1 361 (mean 230 participants).
In addition to mean data, quantitative measures of distributions across a population can be obtained using techniques such as flow cytometry that measure expression in single cells.
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