non-linear mixed effects model
The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.
... data; Non-linear mixed effects models; SAEM algorithm; sample ...on linear or non-linear mixed-effects models ...to model the evolution of functional ...
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Misuse of the linear mixed model when evaluating risk factors of cognitive decline.
... two mixed models based on latent processes that handle discrete and bounded outcomes were ...between effects on mean level and on change over time was ...alternative mixed models when studying ...
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Standard errors of solutions in large scale mixed models, application to linear and curvilinear effects of inbreeding on production traits.
... Diseases may affect production and vice versa. Standard linear model theory does not accommodate recursiveness or simultaneity of effects. Structural Equa- tion Models (SEM), however, allow modeling ...
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A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models.
... dom effects and residuals, either in a nonparametric or in a parametric ...random effects into the classical resid- ual bootstrap plays therefore a very important role for bootstrapping in ...
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Estimating Markov and semi-Markov switching linear mixed models with individual-wise random effects
... the non- observable states and the random ...random effects, the state sequences are sampled using the “forward-backward” algo- rithm proposed by Gu´edon ...random effects are predicted as previously ...
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Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
... trials. Non-linear mixed-effects models are thus proposed to model this decrease of the viral load after initiation of treatment and to evaluate the intra- and inter-patient ...
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Phenomenological modeling of tumor diameter growth based on a mixed effects model
... the linear growth of diameter kinetics, tumor diameter-based rather than tumor volume-based models have been devel- oped for the phenomenological modeling of tumor ...two linear parts and one ex- ponential ...
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A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data
... phase. Mixed effects models provide a rich framework to analyze longitudinal ...random) effects allow to describe the model at the group (respectively sub- ject) level and the distribution of ...
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Robustness of the linear mixed model to misspecied error distribution: Robustness of the linear mixed model
... fixed effects which is the unique objective of the longitudinal analysis in most ...random effects may be biased when the covariance structure is ...random effects estimates or individual predictions ...
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Bivariate linear mixed models using SAS proc MIXED.
... The option "CL" requests confidence limits for the covariance parameter estimates. A Satterthwaite approximation is used to construct limits for all parameters that have a default lower boundary constraint of ...
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Low loss microstructured chalcogenide fibers for large non linear effects at 1995 nm.
... due to debased interfaces between capillaries [16]. We concluded that the stack and draw method was not well suited to fabricate low loss chalcogenide MOFs. In a recent paper, a moulding method was used to realize the ...
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Non linear dynamic of coupled machanical systems: model reduction and identification
... Dans un premier temps, quatre m´ethodes pour calculer les MNNs des syst`emes m´ecaniques non lin´eaires discrets, ont ´et´e pr´esent´ees et compar´ees au travers d’exemples num´eriques :[r] ...
189
Limits on Non-Linear Electrodynamics
... cally non linear theory was to solve the difficulty related to the fact that the self energy of a point charge is in- finite by assuming the existence of an absolute field [1] in ...
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Non linear eigenvalue problems
... I start working on this subject 25 years ago for a completely different reason. At that time B. Helffer asked Pham The Lai and me if the following non linear eigenvalue problem has at least a solution (λ, ...
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Non-linear numerical simulation of coiling by elastic finite strain model
... slips between layers are not allowed. A2: Cross sections in the reference configuration are transformed into cross sections of the actual configuration. (“X=Constant” transformed into “θ=Constant”). There- fore, the ...
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Design Optimization in Nonlinear Mixed Effects Models Using Cost Functions: Application to a Joint Model of Infliximab and Methotrexate Pharmacokinetics: Designs in nonlinear mixed effects models
... the parameter, expressed in %. Both designs allow good parameter estimate precisions for the infliximab parameters and the methotrexate fixed effects parameters (about or lower than 20%), with higher precision ...
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European options in a non-linear incomplete market model with default
... [2] Bouchard B., D. Possama¨ı, and X. Tan (2016): A general Doob-Meyer-Mertens decom- position for g-supermartingale system, Electronic Journal of Probability 21, paper no. 36, 21 pages. [3] Brigo, D., Franciscello, M., ...
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Weakly non-linear model of a piezoelectric plate in an axial flow
... weakly non linear model that describes the mechanical-electrical interactions between a fluttering flag with a discrete distribution of piezoeletric patches and a resistive ...nonlinear model ...
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Non-linear rough heat equations
... a linear or polynomial dependence on the ...a linear case, while the assumptions in [45] can be read in our setting as: one is allowed to define an extended function ˜ f i (t, ϕ) := S −t f i (S t ϕ), which ...
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Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods
... Ψ t U(P t U) -1 is only calculated once. IV. APPLICATION A 3D magnetostatic example, made of a single phase EI transformer at no load supplied at 50Hz with a sinusoidal voltage, is studied. Due to the symmetry, only one ...
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