Sentence examples for mixed effect modeling from inspiring English sources

This data attrition can be viewed as a missing data issue, and mixed effect modeling that we used in this study has been found robust in this setting [50], as they implicitly impute outcome trajectories beyond the time of death or extubation.

Mixed effect modeling of hospitalized diarrheal admissions.

Pharmacokinetic parameters were estimated by non-linear mixed effect modeling.

Statistical analysis was performed using the summary statistic approach to mixed effect modeling.

The estimation method most commonly used in population pharmacokinetics and nonlinear mixed effect modeling in general is based on a maximum likelihood approach.

The analysis was performed using non-linear mixed effect modeling (NONMEM, GloboMax LLC, Hanover, MD, version VI) by use of the first-order conditional estimation (Method 1) with η-ε interaction and ADVAN6 TOL5.

NON-linear mixed-effect modeling (NONMEM 1) is a modeling tool that pharmacometricians use in population pharmacokinetics and pharmacodynamics analysis.

We used linear mixed-effect modeling (LME) to calculate erosivity predictors for each substrate.

A population PK model using nonlinear mixed-effect modeling (NONMEM) was developed.

The PK data were analyzed using nonlinear mixed-effect modeling (NONMEM).

We compared changes from baseline in HbA1c, blood-pressure, and lipid levels using mixed-effect modeling between video-SMA and usual care groups.