The general nonlinear mixed effects model
Model Diagnostics for the Nonlinear Mixed Effects Model with Balanced Longitudinal Data
... random effects with large magnitude, the first-order linear approximation may not be adequate, and second-order terms that are quadratic in elements of b i may be needed to characterize between-subject ...random ...
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Analysis of repeated measurement data using the nonlinear mixed effects model
... The nonlinear mixed effects model has been used to describe repeated measurement data for which the mean response function is nonlinear.. In this tutorial, the model is motivated and des[r] ...
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THE APPLICATION OF NONLINEAR MIXED-EFFECTS MODELING TO THE
... PK model selection, the effects of body weight on RTV unbound clearance and volume of distribution of unbound were justified according to the objective function value, whereas this was not seen in the ...
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Contributions to nonlinear mixed-effects modeling
... the nonlinear mixed-effects model is frequently used for data analysis in pharmaceutical ...to model the administration, distribution, metabolism, and elimination of ...known ...
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Retrospective analysis of chronic hepatitis C in untreated patients with nonlinear mixed effects model
... mathematical model for viral load dynamics within untreated ...logistic model to describe the overall pattern of viral load fluctua- tion based on an exploratory analysis of the ...
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A Multivariate Nonlinear Mixed Effects Model for Longitudinal Image Analysis: Application to Amyloid Imaging
... score model and parameter estimation ...the model, and are analyzed together in a multivariate ...the model fitting ...the model fitting as an expectation-maximization (EM) algorithm, which ...
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Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
... For nonlinear mixed models, the problem is more complex, the estimation of such model parameters being difficult even without censored ...dom effects, the likelihood of NLMEM cannot be ...
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An Optimization Approach for the Parameter Estimation of the Nonlinear Mixed Effects Models
... mented in pro nlmixed. Sine eah of the optimizers requires dierent deriv atives, some omputational eÆienies an be gained. Eah optimization method employs one or more onvergene riteria that determine when it has onverged. ...
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Nonlinear mixed-effects scalar-on-function models and variable selection
... We extend the valriable selection algorithm for functinal linear regression proposed by Gertheiss et al. (2013) to the case where both scalar and functional are in the regression. This extended version of the algorithm ...
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Nonlinear mixed-effects scalar-on-function models and variable selection
... the model with a scalar response and mixed scalar and func- tional covariates, such as Ramsay and Silverman ( 2006 ), but mostly focused on single or small number of functional vari- ...and nonlinear ...
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Mixed flux equipartition solutions of a diffusion model of nonlinear cascades
... a nonlinear diffusion model of a turbulent cascade with a single conserved quantity which gener- alises Leith’s original model of the energy cascade in 3 dimensional hydrodynamic ...
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Nonlinear mixed-effects models for pharmacokinetic data analysis: assessment of the random-effects distribution
... data analysis. Consider a pharmacokinetic study in which N subjects are followed over time after administration of a drug. Let Y i1 , . . . , Y in i be n i repeated measure- ments on the ith subject, where Y ij is the ...
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Nonlinear effects in a conceptual multilayer cloud model
... a different period of the coupled system or in a steady state attractor. It is noteworthy that the timescales of the evolution of the concentrations for the examples shown in Figs. 3 and 5 are roughly of the order of an ...
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Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke
... Because the present study was a retrospective analysis of existing data, the main limitation is that we did not measure factors that may account for the worsening in performance during training. Thus, it is not clear ...
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GROUP CLASSIFICATION FOR A GENERAL NONLINEAR MODEL OF OPTIONS PRICING
... Mikhail M. Dyshaev Mathematical Analysis Department, Chelyabinsk State University, Chelyabinsk, Russia, [email protected] Abstract: We consider a family of equations with two free functional parameters containing ...
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A delayed SIR model with general nonlinear incidence rate
... epidemic model is investigated and analyzed based on incorporating an incubation time delay and a general nonlinear incidence rate, where the growth of susceptible individuals is governed by the ...
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Nonlinear mixed effects modeling of gametocyte carriage in patients with uncomplicated malaria
... For example, the gametocyte elimination half-life is the time it takes for the density of gametocytes to halve. The main problem with the data was the high preva- lence of zero measurements and their associated uncer- ...
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A Bayesian Mixed Effects Model of Literary Character
... this model will support further exploratory analysis of literary his- ...In general, the personas learned so far do not align neatly with character types known to literary ...the model during ...
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Fast numerical methods for mixed--integer nonlinear model--predictive control
... convexified Mixed–Integer Optimal Control Problems (MIOCPs) discussed in chapter ...particular, general path and control constraints c(·) frequently lead to an a priori unknown structure of the optimal ...a ...
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Nonlinear mixed effect height-diameter model for mixed species forests in the central part of the Czech Republic
... a nonlinear mixed effect height- diameter model applicable to both conifer and broadleaved tree species through the introduction of dummy variable that accounts for the variations in the ...
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