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In the first step, we used a generalized linear mixed-effects model to assess the variables that influence macroptery.
This study was designed to describe the course of epilepsy (in terms of seizure frequency) and to assess the variables (antiepileptic therapy regimens and others) correlated to improvement.
To estimate the use and the yield of the extraction of blood cultures in an Intensive Care Unit (ICU) and to assess the variables associated with the yield.
Self-report instruments were used to assess the variables.
This analysis was done to assess the variables that contribute most to the duration of survival.
Stepwise multiple logistic regression was performed to assess the variables significantly linked to the probability of IgAN.
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The aim of this study was to assess the variable cost of critically ill patients in a new, seven-bed, adult, general ICU, using bottom-up costing methodology.
This had the benefit of assessing the variables of interest using the same response scale, for ready comparison.
How selection variables predict performance within the selected group is not the same as assessing the variables as a means of selection (Burt, 1943).
For each investigation, we then assessed the variable costs relating to the type and quantity of materials and services related to its use.
To calculate P-trend, we created ordinal variables using quintile median intake levels and assessed the variable as linear.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com