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Frequencies of KIR A and B haplotypes and genotypes, HLA-B and HLA-C allotype groups, individual KIR genes as well as combinations of select KIR genes and their known ligands were determined and compared between the appropriate groups.
The non-parametric Kruskal-Wallis or Jonckheere-Terpstra was used to compare the differences of either protein or gene expression levels between the appropriate groups analyzed.
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Comparisons were made between appropriate groups and differences were considered statistically significant at the level of P < 0.05.
Comparisons were made between appropriate groups, and differences were considered to be statistically significant at a P-level of 0.05.
All-cause mortality at 4 weeks was not significantly different between the appropriate empirical therapy group (9 cases) and the inappropriate group (20 cases) in this study.
Statistical analysis of the area of necrosis between each treatment group and the appropriate control group was conducted using unpaired Student t-tests.
In order to identify this term I assume that all differences between high-growth firms and the appropriate control group can be captured by a vector of observables including the pre-shock size and productivity of a firm.
Data for both outcomes were analyzed and compared between the two groups (appropriate and inappropriate empiric therapy) using Kaplan-Meier survival models.
Tukey multiple comparison tests were used to analyze the significance of the differences between the groups, when appropriate.
Unadjusted two-sample comparisons (Pearson's chi squared and Student's t test) were used to assess differences in background characteristics between the groups as appropriate.
There was no significant difference between the two groups regarding the appropriate use of gastrointestinal decontamination.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com