# Haut PDF Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm

### Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm

**the**robustness

**of**

**the**estimated parameters can be assessed by changing

**the**random seed (argument seed) and initial estimates

**of**

**the**parameters around

**the**final ...

43

### saemix, an R version of the SAEM algorithm for parameter estimation in nonlinear mixed effect models

**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 ...

3

### Pharmacogenetics and population pharmacokinetics: impact of the design on three tests using the SAEM algorithm.

**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 ...

16

### Some alternatives to asymptotic tests for the analysis of pharmacogenetic data using nonlinear mixed effects models.: Alternatives to Asymptotic Tests in NLMEM: an Application to Pharmacogenetics

**Nonlinear**

**mixed**effects

**models**allow investigating individual differences

**in**drug con- centration profiles (pharmacokinetics) and ...on

**the**genetic component

**of**this ...

28

### Performance in population models for count data, part II: a new SAEM algorithm.

**the**

**estimation**procedure with

**the**

**SAEM**

**algorithm**

**in**a non-linear

**mixed**

**effect**modelling framework for count data

**models**, showed satisfactory ...

32

### Implementation and Evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamics

**estimation**. However, as

**in**all

**nonlinear**

**mixed**

**models**,

**the**integral

**of**

**the**likelihood function cannot be explicitly solved and various approximations are ...

38

### Nonlinear MIMO communication systems : channel estimation and information recovery using Volterra models

**Models**for

**Nonlinear**MIMO Communica- tion Systems, provides

**an**overview

**of**MIMO Volterra

**models**

**in**

**the**context

**of**

**nonlinear**communication systems, ...

241

### New adaptive strategies for nonparametric estimation in linear mixed models

**the**

**estimation**

**of**...propose

**an**estimator which uses all

**the**available ...performed.

**The**particularity here is

**the**selection model procedure: we adapt a method set up ...

23

### Extension of NPDE for evaluation of nonlinear mixed effect models in presence of data below the quantification limit with applications to HIV dynamic model.

**of**some problems

**of**

**the**Fisher tests, type I errors for

**the**npde computed by

**the**new method, especially those

**of**

**the**global test, are very close to 5% and much more ...

32

### State and parameter estimation for a class of schistosomiasis models

**in**

**an**attempt to eradicate schistosomiasis or alleviate its morbidity

**in**many endemic countries [ 34 ...degrees

**of**success. However, this method has its own set

**of**...

25

### An Implementation of the Shooting Algorithm for Solving Optimal Control Problems

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### Latent parameter estimation in fusion networks using separable likelihoods

**in**which windowing

**of**measurements are used for enabling online ...results

**of**

**the**proposed pseudo-likelihood can be found

**in**...account

**of**our solution strategy

**in**...

17

### Bivariate linear mixed models using SAS proc MIXED.

**The**APROCO (ANRS-EP11) cohort is a prospective observational cohort ongoing

**in**47 clinical centres

**in**...total

**of**1,281 HIV-1-infected patients were enrolled from May 1997 to June 1999 at ...

20

### FrailtyPack: An R Package for the Analysis of Correlated Survival Data with Frailty Models Using Penalized Likelihood or Parametrical Estimation

**The**nested frailty model 6 is most appropriate, when there are two levels

**of**hierarchical ...increase

**the**risk

**of**death, thus

**the**terminal event is considered as

**an**...

3

### clogitLasso: an R package for L1 penalized estimation of conditional logistic regression models

**The**conditional logistic regression model is

**the**standard tool for

**the**analysis

**of**epidemiological studies

**in**which one or more cases (

**the**event

**of**...

3

### Cardiovascular parameter estimation using a computational model

104

### Comparison of cardiovascular parameter estimation methods using swine data

**The**MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Arai, Tatsuya et al., "Comparison

**of**cardiovascular

**parameter**...

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### Modelling finger force produced from different tasks using linear mixed models with lme R function

**In**this paper, we have proposed a methodology to handle with biomechanical ...data.

**The**main features

**of**these data lie

**in**

**the**repetition

**of**

**the**force inten- ...

26

### Nonlinear regression using smooth Bayesian estimation

**in**this paper (see [8] for more details about these methods).

**The**main contribution

**of**this paper is

**the**elaboration

**of**a hierarchical Bayesian model that allows smooth ...

7

### Parametric estimation of complex mixed models based on meta-model approach

**of**simplicity,

**the**

**estimation**

**of**σ ε may be less accurate but usually this

**parameter**if

**of**less ...remarks

**In**

**the**case

**of**a

**mixed**model where ...

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