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This analysis tested that hypothesis.
Although the interpretation network analysis tested here has the potential to support the field of sustainability monitoring, the structure and content of documents pose several limitations.
An important part of our analysis tested whether acquisition-related or subject-related confounding factors cause significant variability in tissue diffusivity and perfusion.
The analysis tested three different categories of criteria to allow dynamic source selection when an order is placed: Source Substitution, Minimum Ratio and Minimum Sum.
For 90-day mortality discrimination, the receiver operating characteristic curve (ROC) analysis tested the best threshold values (using the Youden index) of the variables and the area under the curve (AUC) was calculated.
The next analysis tested whether there were consistent differences between the covariance maps of the different RSNs.
The statistical analysis tested whether the effect of the interaction between the two P-clones on the measured responses was significant.
Although the four biomarkers were measured for all 121 serum samples at inclusion, 96 serum samples at 48 h and 60 serum samples at 7th day, the GLM analysis tested for biomarker level differences between genotypes over time.
This analysis tested for differences in connection direction and strength between care and justice moral cognitions and thus compared each paths contribution to the path model between the moral issue conditions.
Multivariate analysis tested for factors influencing survival.
Bivariate analysis tested racial/ethnic differences on the various measures.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com