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Data were analysed using a linear mixed effect model.
If not indicated otherwise, data were analyzed using linear mixed effect models.
(DOC 73 kb) Additional file 5: Summary of the best generalized linear mixed effect models.
A generalised linear mixed effect model was used to analyse the results.
Linear mixed effect procedures were used to fit models derived from the γ-ray and DEM.
Specifically, we fit a linear mixed effect model to the data.
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Each row shows the results for a separate linear mixed effect models for a different subscore.
Pharmacokinetics were described using the non-linear mixed effect modelling software MONOLIX.
Pharmacokinetic parameters were estimated by non-linear mixed effect modeling.
The analysis was performed by non-linear mixed effect modelling using the NONMEM® computer program.
Parameter estimation is often achieved using non-linear mixed effect models (NLMEM) [ 9].
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