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The term "mixed" in non-linear mixed effects modelling represents a mixture of fixed and random effects.
A case study is used to illustrate the principles of general mixed effects modelling in toxicokinetics.
Core body temperature was assessed by Vitalsense capsule, standard haematology performed and circulating cytokines (TNFα, IL-1β,6,10 measured. Peak and area under the curve (AUC) were analysed by mixed effects modelling (study 2).
A Berkey-Reed first order model (Berkey, 1982) was fitted using mixed effects modelling.
SAS V.9.2 was used to perform all linear mixed effects modelling.
Population parameter estimates were obtained using non-linear mixed effects modelling.
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In contrast, the same idea has also been developed under the name mixed-effects modelling, and the sub-class known as nonlinear mixed-effects modelling (NLME) (Fig. 1 f) has been widely used to estimate parameters in ODEs [ 10, 11].
The results from the linear mixed-effects modelling for the primary outcome may be seen in Table 4 and Fig. 3.
Non-linear mixed-effects modelling in NONMEM (Version 7.3.0, Icon Development Solutions, Ellicott City, MD, USA) was used to analyse the observed data.
We used mixed-effects modelling for formal analyses of sea lice abundances, with a random effect associated with sockeye sampling events.
We used molecular genetics techniques to determine the origins of the fish, and we employed mixed-effects modelling to examine factors that best explain sea lice abundance.
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