nonlinear mixed effect models Latest Research Papers

Fast selection of nonlinear mixed effect models using penalized likelihood

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107373 ◽

2021 ◽

pp. 107373

Author(s):

Edouard Ollier

Keyword(s):

Penalized Likelihood ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models ◽

Selection Of

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Theoretical Performance of Nonlinear Mixed-Effect Models Incorporating Saliva as an Alternative Sampling Matrix for Therapeutic Drug Monitoring in Pediatrics: A Simulation Study

Therapeutic Drug Monitoring ◽

10.1097/ftd.0000000000000904 ◽

2021 ◽

Vol 43 (4) ◽

pp. 546-554

Author(s):

Matthijs D. Kruizinga ◽

Frederik E. Stuurman ◽

Gertjan J.A. Driessen ◽

Adam F. Cohen ◽

Kirsten R. Bergmann ◽

...

Keyword(s):

Therapeutic Drug Monitoring ◽

Simulation Study ◽

Drug Monitoring ◽

Therapeutic Drug ◽

Mixed Effect ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Nonlinear Mixed Effect Models ◽

Theoretical Performance

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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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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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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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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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Model selection and averaging of nonlinear mixed-effect models for robust phase III dose selection

Journal of Pharmacokinetics and Pharmacodynamics ◽

10.1007/s10928-017-9550-0 ◽

2017 ◽

Vol 44 (6) ◽

pp. 581-597 ◽

Cited By ~ 10

Author(s):

Yasunori Aoki ◽

Daniel Röshammar ◽

Bengt Hamrén ◽

Andrew C. Hooker

Keyword(s):

Model Selection ◽

Phase Iii ◽

Dose Selection ◽

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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Effect of correlation on covariate selection in linear and nonlinear mixed effect models

Pharmaceutical Statistics ◽

10.1002/pst.1776 ◽

2016 ◽

Vol 16 (1) ◽

pp. 45-54 ◽

Cited By ~ 8

Author(s):

Peter L. Bonate

Keyword(s):

Mixed Effect ◽

Covariate Selection ◽

Mixed Effect Models ◽

Nonlinear Mixed Effect ◽

Linear And Nonlinear ◽

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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nonlinear mixed effect models
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Fast selection of nonlinear mixed effect models using penalized likelihood

Theoretical Performance of Nonlinear Mixed-Effect Models Incorporating Saliva as an Alternative Sampling Matrix for Therapeutic Drug Monitoring in Pediatrics: A Simulation Study

A general formulation of nonlinear mixed effect models and its application

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

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

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

Model selection and averaging of nonlinear mixed-effect models for robust phase III dose selection

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

Effect of correlation on covariate selection in linear and nonlinear mixed effect models

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

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nonlinear mixed effect modelsRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Fast selection of nonlinear mixed effect models using penalized likelihood

Theoretical Performance of Nonlinear Mixed-Effect Models Incorporating Saliva as an Alternative Sampling Matrix for Therapeutic Drug Monitoring in Pediatrics: A Simulation Study

A general formulation of nonlinear mixed effect models and its application

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

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

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

Model selection and averaging of nonlinear mixed-effect models for robust phase III dose selection

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

Effect of correlation on covariate selection in linear and nonlinear mixed effect models

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

nonlinear mixed effect models
Recently Published Documents