[PDF] Top 20 saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models
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saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models
... tion: The use of modelling and simulation in lini al drug development is now well ...Regardless of whether a single out ome is onsidered at the end of the study, lini al ... Voir le document complet
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Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm
... )). In practice, linearisation-based algorithms also exhibit convergence issues and can be tricky to use with complex models ( Plan, Maloney, Mentr´ e, Karlsson, and Bertrand ( 2012 ...Over the past ... Voir le document complet
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Implementation and Evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamics
... likelihood estimation. However, as in all nonlinear mixed models, the integral of the likelihood function cannot be explicitly solved and various approximations are ... Voir le document complet
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Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
... solution. The exact SAEM algorithm could also be extended to this case but is out of the scope of this ...account the censored-data problem with NLMEM, Wu (7; 17) proposes ... Voir le document complet
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Pharmacogenetics and population pharmacokinetics: impact of the design on three tests using the SAEM algorithm.
... For the Wald test, we relate this inflation to the under-estimation of the SE of the gene effect ...performed the Wald test using the empirical ... Voir le document complet
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Performance in population models for count data, part II: a new SAEM algorithm.
... Overall, the estimation procedure with the SAEM algorithm in a non-linear mixed effect modelling framework for count data models, showed satisfactory ... Voir le document complet
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An Adapted Version of the Bentley-Ottmann Algorithm for Invariants of Plane Curves Singularities
... 8. The 3 cycles of the graph G from Figure 3 4 Implementation of the Algorithm We implemented the adapted Bentley-Ottmann algorithm in GENOM3CK [9], a ... Voir le document complet
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Bayesian conditional Monte Carlo Algorithm for nonlinear time-series state estimation
... So the difficulty is to find a compromise between the quality of the approximation of p 0:n−1|n and the approximation of the quantities needed to compute CMC ... Voir le document complet
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The Multiplicative Weights Update Algorithm for Mixed Integer NonLinear Programming : Theory, Applications, and Limitations
... Then, in Chapter 4 we consider the Multiple NonLinear Knapsack Prob- lem, addressed here for the first time in its ...adapt the Multiplica- tive Weights Updated framework ... Voir le document complet
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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
... number of design variables, has been shown for instance in Retout et ...to the Simplex algorithm. The implementation assumes that the acceptable sampling times are given ... Voir le document complet
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Autoregressive Functions Estimation in Nonlinear Bifurcating Autoregressive Models
... where the supremum is taken among all functions (f 0, f1) ∈ F(γ, ℓ) ∩ H β D (L) 2 , for any initial probability measure µ(dx) on R for X ∅ such that µ (1 + | · |) 2 < ...are in ... Voir le document complet
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Bayesian estimation for the multifractality parameter
... estimators of c 2 for N = 256 (top) and N = 512 ...variability of the data) is less pro- nounced for the Bayesian ...comparing the two Bayesian estimators, MMSE is ... Voir le document complet
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Extension of NPDE for evaluation of nonlinear mixed effect models in presence of data below the quantification limit with applications to HIV dynamic model.
... test the distribution of npde under the null hypothesis, we used the KS test or the global test that is a combination of three sub-tests: the Wilcoxon test, the ... Voir le document complet
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Estimation of linear mixed models with a mixture of distribution for the random-effects
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
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An improved algorithm for the control synthesis of nonlinear sampled switched systems
... Experimentations In this section, we apply our approach to different case studies taken from the ...written in C++ and based on DynIBEX [28]. The computations times given in the ... Voir le document complet
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An Optimal Broadcast Algorithm for Content-Addressable Networks -- Extended Version
... structures for communica- tion and storage systems in large-scale setting. In the context of the Content-Addressable Network (CAN), this paper addresses the following ... Voir le document complet
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FrailtyPack: An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood or Parametrical Estimation
... is an R package 1 which allows to fit four types of frailty models, for left-truncated and right-censored data, adapted to most survival analysis ...issues. The aim of ... Voir le document complet
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An attitude estimation algorithm for a floated inertial reference
... The problem addressed in this thesis is the design of an algorithm to estimate the attitude of an inertial platform as represented by a direction cosine matrix (DCM[r] ... Voir le document complet
108
Parametric estimation of complex mixed models based on meta-model approach
... on the complexity of the re- gression ...mathematical models have been developed to describe precisely biological processes: multi-dimensional ordinary differential equations (ODE) (see Wu et ... Voir le document complet
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Estimation of linear autoregressive models with Markov-switching, the E.M. algorithm revisited.
... (1) The parameters of the model are the transition probabilities of the ma- trix A, the coefficients of the linear functions F e i and the variances σ ... Voir le document complet
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