1
Population PK analysis was performed by non-linear mixed-effect modelling using NONMEM.
2
Population modeling was performed with NONMEM, using a one-compartment model.
3
A one-compartment model with first-order absorption was fitted to the data using NONMEM software.
4
A population pharmacokinetic analysis was conducted using NONMEM 7.
5
Venous plasma concentration-time profiles were characterized using nonlinear mixed-effects modeling (NONMEM).
6
A population pharmacokinetic model was developed using non linear mixed effects modelling techniques, utilizing the software NONMEM.
7
Concentrations were modelled using NONMEM and associated with treatment outcomes using unpaired t-tests or Pearson's rho correlations.
8
The data were analyzed using NONMEM software.
9
Plasma concentration versus time course was described either by a one-compartment model or by linear splines using NONMEM.
10
Pharmacokinetic studies were performed for a period of 28 days, and population modeling was performed using NONMEM software.
11
The effects of genotypes on typical value of clearance were evaluated with the likelihood ratio test within NONMEM.
12
A set of structural PK models and residual error models were explored using nonlinear mixed-effects modeling in NONMEM.
13
A statistical model for the diurnal variation in the COMP levels was developed using the computer program NONMEM.
14
A population PK analysis was performed in NONMEM using samples collected in an opportunistic study from children receiving i.v.
15
Most of the time, modelling was performed for descriptive purposes, with rich rather than sparse data and using NONMEM software.
16
Venous blood concentrations of glyburide, insulin, and glucose were analyzed with a population pharmacokinetic-pharmacodynamic model by use of NONMEM statistical software.