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It is worth noting that no demographical or clinical differences were found between samples considered in the GLM analysis of TLR1 SNP genotypes and serial measures of biomarkers, i.e. those patients who were not discharged from the ICU or were not dead before seven days, and patients without serum measures at the three time points, except for mortality (p = 0.033).
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However, there was no significant difference in rate of antidepressant prescription between the two samples considered in aggregate.
If our goal was to describe differentially expressed genes between leaf and bud, we would have a large list of putatively, differentially expressed genes (Table 2); however, in this particular case, we can only claim that these genes were differentially expressed between the two amplified RNA samples considered in our experiment.
In all the samples considered in this study, the CNTs and Au-CNTs hybrids were randomly oriented on the surface, forming a network of tubes between the electrodes.
Comparison between the sample considered in the present study (n=16 937) and excluded participants (n=7388) showed a substantial homogeneity for sex (p=0.23).
A comparison of socio-demographic variables between the three samples considered is presented in Table 1. a χ test, except for age (ANOVA).
In the other subset of five samples considered as primary ovarian carcinoma, no overlap of genomic alterations was found between mammary and ovarian samples.
The measured parameters show significant differences between all samples, considering both the fungal species and the substrates.
Samples from 153 patients were brought to the NRL between March and September 2009 for culture, with 39 of the patients providing more than one sample for internal control, but these duplicate samples were not considered in the final statistical analysis.
When the expected rate of sample deterioration was considered in simulated clinical trials, an inverse relationship was found between the rate at which patients are enrolled and the best achievable receiver operating characteristic curve a study could produce.
Statistical differences between samples were considered significant when p < 0.05.
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