PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2018.01.008 ◽

2018 ◽

Vol 156 ◽

pp. 217-229 ◽

Cited By ~ 7

Author(s):

Cyrielle Dumont ◽

Giulia Lestini ◽

Hervé Le Nagard ◽

France Mentré ◽

Emmanuelle Comets ◽

...

Keyword(s):

Design Evaluation ◽

Mixed Effect ◽

R Program ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2009.09.012 ◽

2010 ◽

Vol 98 (1) ◽

pp. 55-65 ◽

Cited By ~ 55

Author(s):

Caroline Bazzoli ◽

Sylvie Retout ◽

France Mentré

Keyword(s):

Design Evaluation ◽

Multiple Response ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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A general formulation of nonlinear mixed effect models and its application

Scientia Sinica Mathematica ◽

10.1360/n012018-00173 ◽

2020 ◽

Vol 50 (1) ◽

pp. 15

Author(s):

Fu Liyong ◽

Tang Shouzheng

Keyword(s):

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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A SAEM algorithm for fused lasso penalized NonLinear Mixed Effect Models: Application to group comparison in pharmacokinetics

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2015.10.006 ◽

2016 ◽

Vol 95 ◽

pp. 207-221 ◽

Cited By ~ 3

Author(s):

Edouard Ollier ◽

Adeline Samson ◽

Xavier Delavenne ◽

Vivian Viallon

Keyword(s):

Group Comparison ◽

Fused Lasso ◽

Mixed Effect ◽

Saem Algorithm ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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Quantifying aboveground biomass for common shrubs in northeastern California using nonlinear mixed effect models

Forest Ecology and Management ◽

10.1016/j.foreco.2018.04.043 ◽

2018 ◽

Vol 424 ◽

pp. 154-163 ◽

Cited By ~ 4

Author(s):

Steve Huff ◽

Krishna P. Poudel ◽

Martin Ritchie ◽

H. Temesgen

Keyword(s):

Aboveground Biomass ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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Influence of Covariance Between Random Effects in Design for Nonlinear Mixed-Effect Models with an Illustration in Pediatric Pharmacokinetics

Journal of Biopharmaceutical Statistics ◽

10.1080/10543406.2014.888443 ◽

2014 ◽

Vol 24 (3) ◽

pp. 471-492 ◽

Cited By ~ 6

Author(s):

Cyrielle Dumont ◽

Marylore Chenel ◽

France Mentré

Keyword(s):

Random Effects ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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Nonlinear Mixed-Effect Models for Prostate-Specific Antigen Kinetics and Link with Survival in the Context of Metastatic Prostate Cancer: a Comparison by Simulation of Two-Stage and Joint Approaches

The AAPS Journal ◽

10.1208/s12248-015-9745-5 ◽

2015 ◽

Vol 17 (3) ◽

pp. 691-699 ◽

Cited By ~ 19

Author(s):

Solène Desmée ◽

France Mentré ◽

Christine Veyrat-Follet ◽

Jérémie Guedj

Keyword(s):

Prostate Cancer ◽

Prostate Specific Antigen ◽

Metastatic Prostate Cancer ◽

Specific Antigen ◽

Two Stage ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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

Journal of Statistical Software ◽

10.18637/jss.v080.i03 ◽

2017 ◽

Vol 80 (3) ◽

Cited By ~ 19

Author(s):

Emmanuelle Comets ◽

Audrey Lavenu ◽

Marc Lavielle

Keyword(s):

Parameter Estimation ◽

Mixed Effect ◽

Saem Algorithm ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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Comparison of Model Averaging and Model Selection in Dose Finding Trials Analyzed by Nonlinear Mixed Effect Models

The AAPS Journal ◽

10.1208/s12248-018-0205-x ◽

2018 ◽

Vol 20 (3) ◽

Cited By ~ 6

Author(s):

Simon Buatois ◽

Sebastian Ueckert ◽

Nicolas Frey ◽

Sylvie Retout ◽

France Mentré

Keyword(s):

Model Selection ◽

Model Averaging ◽

Dose Finding ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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Clinical trial simulation to evaluate power to compare the antiviral effectiveness of two hepatitis C protease inhibitors using nonlinear mixed effect models: a viral kinetic approach

BMC Medical Research Methodology ◽

10.1186/1471-2288-13-60 ◽

2013 ◽

Vol 13 (1) ◽

Cited By ~ 12

Author(s):

Cédric Laouénan ◽

Jeremie Guedj ◽

France Mentré

Keyword(s):

Clinical Trial ◽

Hepatitis C ◽

Protease Inhibitors ◽

Kinetic Approach ◽

Clinical Trial Simulation ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Trial Simulation ◽

Nonlinear Mixed Effect Models

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Nonlinear mixed-effect models with nonignorably missing covariates

Canadian Journal of Statistics ◽

10.2307/3315997 ◽

2004 ◽

Vol 32 (1) ◽

pp. 27-37 ◽

Cited By ~ 3

Author(s):

Lang Wu

Keyword(s):

Missing Covariates ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models

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