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The model used was a two-compartment open model with elimination from the central compartment.
Therefore, we considered a classical two- or three-compartment model with elimination from the first compartment physiologically incorrect.
Using a model with elimination by glucuronidation as the only pathway, Edginton and Ritter (2009) simulated plasma concentrations in the newborn, who at a given external exposure were 11-fold higher compared to concentrations in adults.
A linear one-compartment model with elimination from the central compartment was fit to the data, which included inter-individual and inter-occasion variability in CL, but not in the other parameters.
Simulation of CPT release in the first 24 h after infusion in a two- or three-compartment model with elimination from the first compartment suggested that only 14 20% of the administered dose (expressed as CPT equivalents) had been eliminated after 24 h.
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Independent variables with a p value <0.10 in univariable analysis were entered into the multivariable model, with backward elimination of variables displaying a p value greater than 0.05.
The proposed techniques were compared with the existing approaches of the Fine Gray subdistribution hazard model, Fine Gray regression model with backward elimination, and random survival forest for competing risks.
a Multivariate analysis of covariance model with backwards elimination.
Multivariate analysis of 1-year mortality was performed using a logistic regression model with backward elimination.
A one-compartment open model with linear elimination adequately described the Ep time courses.
A one-compartment open model with linear elimination adequately described the Ep concentration-time courses.
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