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Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools

Lavielle, Marc

1, 2014

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

Journal of statistical software, 2017, Vol.80 (3), p.1-41

2017

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SAMBA: A novel method for fast automatic model building in nonlinear mixed‐effects models

CPT: pharmacometrics and systems pharmacology, 2022-02, Vol.11 (2), p.161-172

2022

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A statistical approach for array CGH data analysis

BMC bioinformatics, 2005-02, Vol.6 (1), p.27-27, Article 27

2005

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Mixed Effects Models for the Population Approach

Marc Lavielle

2014

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Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model

Computational statistics & data analysis, 2006-12, Vol.51 (3), p.1562-1574

2006

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Predicting the propagation of COVID-19 at an international scale: extension of an SIR model

BMJ open, 2021-05, Vol.11 (5), p.e041472-e041472

2021

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Convergence of a Stochastic Approximation Version of the EM Algorithm

The Annals of statistics, 1999-02, Vol.27 (1), p.94-128

1999

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Using penalized contrasts for the change-point problem

Signal processing, 2005-08, Vol.85 (8), p.1501-1510

Lavielle, Marc

2005

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Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions

Pharmaceutical research, 2016-12, Vol.33 (12), p.2979-2988

2016

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Exploring and Comparing Unsupervised Clustering Algorithms

Journal of open research software, 2020-10, Vol.8 (1), p.21

2020

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Coupling the SAEM algorithm and the extended Kalman filter for maximum likelihood estimation in mixed-effects diffusion models

Statistics and its interface, 2013, Vol.6 (4), p.519-532

2013

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Pharmacometrics models with hidden Markovian dynamics

Journal of pharmacokinetics and pharmacodynamics, 2018-02, Vol.45 (1), p.91-105

Lavielle, Marc

2018

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Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework

Computational statistics & data analysis, 2020-05, Vol.145, p.106907, Article 106907

2020

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What do we mean by identifiability in mixed effects models?

Journal of pharmacokinetics and pharmacodynamics, 2016-02, Vol.43 (1), p.111-122

2016

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Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data

Bioinformatics, 2019-07, Vol.35 (14), p.i586-i595

2019

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The Standard Output: A Tool‐Agnostic Modeling Storage Format

CPT: pharmacometrics and systems pharmacology, 2018-09, Vol.7 (9), p.543-546

2018

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An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models

Statistics and computing, 2014-09, Vol.24 (5), p.693-707

2014

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Logistic Regression with Missing Covariates -- Parameter Estimation, Model Selection and Prediction

Computational statistics & data analysis, 2019-12

2019

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What do we mean by identiability in mixed effects models?

Journal of pharmacokinetics and pharmacodynamics, 2016-09

2016

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An ensemble model based on early predictors to forecast COVID-19 health care demand in France

Proceedings of the National Academy of Sciences - PNAS, 2022-05, Vol.119 (18), p.e2103302119-e2103302119

2022

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f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models

Computational statistics & data analysis, 2020-01, Vol.141, p.123-138

2020

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A note on BIC in mixed-effects models

Electronic journal of statistics, 2014-01, Vol.8 (1), p.456-475

2014

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SPIX: A new software package to reveal chemical reactions at trace amounts in very complex mixtures from high‐resolution mass spectra dataset

Rapid communications in mass spectrometry, 2021-03, Vol.35 (6), p.e9015-n/a

2021

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Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software

Journal of pharmacokinetics and pharmacodynamics, 2007-04, Vol.34 (2), p.229-249

2007

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Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools

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

SAMBA: A novel method for fast automatic model building in nonlinear mixed‐effects models

A statistical approach for array CGH data analysis

Mixed Effects Models for the Population Approach

Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model

Predicting the propagation of COVID-19 at an international scale: extension of an SIR model

Convergence of a Stochastic Approximation Version of the EM Algorithm

Using penalized contrasts for the change-point problem

Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions

Exploring and Comparing Unsupervised Clustering Algorithms

Coupling the SAEM algorithm and the extended Kalman filter for maximum likelihood estimation in mixed-effects diffusion models

Pharmacometrics models with hidden Markovian dynamics

Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework

What do we mean by identifiability in mixed effects models?

Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data

The Standard Output: A Tool‐Agnostic Modeling Storage Format

An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models

Logistic Regression with Missing Covariates -- Parameter Estimation, Model Selection and Prediction

What do we mean by identiability in mixed effects models?

An ensemble model based on early predictors to forecast COVID-19 health care demand in France

f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models

A note on BIC in mixed-effects models

SPIX: A new software package to reveal chemical reactions at trace amounts in very complex mixtures from high‐resolution mass spectra dataset

Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software

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