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Data-depth classification analysis revealed a poor categorization among urban, traffic and industrial sites: weather and urban planning factors may cause a general homogeneity of air pollution within cities driving this poor classification.
Their scatter analysis revealed a poor dependency of ribosome loading on total amount of investigated transcripts.
In our study, polar plot analysis revealed a poor trending ability before CPB and an acceptable trending of changes in CI after CPB for the investigated autocalibrated monitoring system.
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Receiver operating characteristics curve (ROC) analysis revealed a positive but poor association of ICH-volume and anemia (AUC = 0.67) suggesting volume-undriven outcome-effects of anemia (AUC = 0.75).
The most striking result of this analysis revealed a significant association between poor survival and global gene promoter hypermethylation (P = 0.036).
48 However, the current analysis revealed a large inconsistency among study results, poor precision of the combined analysis, and low methodological quality.
Multivariate analysis revealed a statistical trend for DM to predict poor outcome in schizophrenics (OR, 2.30; 95% CI, 0.96-5.74; p = 0.062, Additional file 1: Table S1).
Analysis of PIAS3 mRNA transcript levels demonstrated that low PIAS3 levels predicted poor survival; Cox regression analysis revealed a hazard ratio of 0.57 (95% CI: 0.37 0.87), indicating a decrease in the risk of death by 43% for every unit elevation in PIAS3 gene expression.
The scientists' analysis revealed a mixed picture.
Our subsequent data analysis revealed a variety of interesting trends.
This analysis revealed a rather complex picture.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com