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Receiver operating characteristic (ROC) analyses were constructed to identify the prognostic value of each vasopressor dose variable as well as significant predictors of outcome in univariate analysis.
In the second, each level of the ordinal dose variable was represented in the model with a binary indicator variable.
Arsenic level and volume of liquid consumed per day were not combined as a dose variable because liquid volume included juice, milk, soup, tea, and water.
Treatment was included as a dose variable representing the linear effect of the number of visits for spinal manipulation (0, 6, 12, or 18).
For the species-specific dose variable, the slope of the least-squares line fit to the plot of predicted versus measured hair Hg was 13.4 [see Supplemental Material, Figure 3A (doi:10.1289/ehp.1002609)].
The "dose" variable in this study was land elevation (in feet above sea level) – a proxy variable for the environmental stressors that accompany land elevations (such as low level cosmic radiation and oxygen concentration).
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A structure model using a mixed-effect modeling approach which included intertrial variability and residual variability was selected to describe the relationship between appropriate paclitaxel dose variables (dose level or average dose per week) and response.
Associations between vasopressor dose variables and 28-day mortality were assessed using logistic regression.
At the end of vasopressor infusion, vasopressor dose variables (maximum dose, t mean dose, cumulative dose) and duration of treatment were calculated.
The presence of an interaction between vasopressor dose variables and baseline SOFA was evaluated using an interaction term in three-variable logistic models (vasopressor variable, SOFA variable and vasopressor*SOFA variable).
Contact or dose variables were calculated for each condition.
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