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The total number of reads whose 5′-most base resided within a given quartile was then calculated, and the percent of genes with the majority of reads found within a quartile was plotted.
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To determine whether individuals in the highest and lowest year 7 fibrinogen and CRP quartiles remained in that quartile at year 20, we cross-tabulated the earlier and year 20 quartiles to measure the percentage of those in a given quartile at year 7 who remained in that quartile at year 20.
The coefficient for a given phthalate quartile represents the median change of the markers of diabetes risk comparing that phthalate quartile to the lowest quartile after accounting for the other factors in the model.
The quartile range across all observations within a given unigene and species represents technical and biological variability but does not influence grade.
Box plots of the spatial (B ) and rate (C ) similarities between repeated exposures to an identical journey and task-demand (red), between different journeys within a given task-demand (green), and between different task-demands within a journey (blue) (median, first and third quartiles, minimum, and maximum indicated).
bSubcategory within a given ontology.
Crude odd ratios (ORs) and confidence intervals (CIs) were calculated using logistic regression models comparing risk of each of the upper 3 quartiles for a given parameter to the lowest quartile.
Individual scalar indexes of heteroplasmy were transformed into single values 1, 2, 3, or 4, characterizing a belonging of an index to a certain quartile within the limits of a given autopsy sample.
The IQR-based measures allow us to compare the size of effect estimates across different pollutants within the same pregnancy period, while the ORs for unit increases allow us to compare the size of estimates across different pregnancy periods for a given pollutant (note: since the distributions of pollutants are not the same across pregnancy periods, inter-quartile ranges differ accordingly).
Each sample was given a quartile score of 1 4 for PFOS and PFOA levels separately.
Each predicted quartile was plotted against the actual one and the number of subjects classified within each quartile gave an indication on the effectiveness of the prediction.
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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