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Estimating model parameter differences.
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The smoothing function s(t) was used to model the average health parameter changes for all the mice over the 6 months, whereas d(t) was used to model the health parameter differences between mice in the exposure group and the control group over the same time period.
Such model-based, systems and control oriented therapies will be individualized via polymorphism-based model parameter perturbations and patient differences in initial states (see Figure 1).
To evaluate the performance of our model, we compared the significant parameter differences between the WT and Y992F models with the already known properties of Y992F signaling described in the literature.
In fact, the work reported here is a prelude to future psychopharmacological and patient studies, in which we will examine the putative relationship between individual differences in learning and attention (as encoded by our model parameters) and individual differences in neuromodulatory processes (as induced by medication, aging, or disease).
The specific aims of this study were to investigate whether the observed increase in (R -11C]verapamil bR -11C]verapamilng and immediately after tariquidar treatment influences PK model parameter estimates and if regional differences in certain brain regions as recently discuptakeby Bankstahl et al. [9] become more pronounceduring these dand are immediately the aftersis.
Within each cohort, there generally were no significant differences in model parameter estimates between boys and girls in both cohort except for βw and βh in the Lungwena cohort.
To understand the origins of those differences, we applied a simple pharmacokinetic model, used the data to estimate the values of the model parameters, and interpret differences in estimated parameter values.
Analysis of model parameters showed important differences between sexes in the risks associated with certain diagnoses.
The U.S. EPA noted that the model did not take into account within-group variability in pharmacokinetics, uncertainty in model parameters and predictions, differences in adaptive responses, or responses in those with insufficient iodine intakes.
Estimates of model parameters predicting individual differences in the long-term rate of change in symptoms of social anxiety are presented in table 3 and illustrated in figures 4 and 5.
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