Practical identifiability in the frame of nonlinear mixed effects models: the example of the in vitro erythropoiesis

Practical identifiability in the frame of nonlinear mixed effects models: the example of the in vitro erythropoiesis

Background: Nonlinear mixed effects models provide a way to mathematically describe experimental data involving a lot of inter-individual heterogeneity. In order to assess their practical identifiability and estimate confidence intervals for their parameters, most mixed effects modelling programs us...

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Bibliographic Details
Main Authors: Crauste, F. (Author), Duchesne, R. (Author), Gandrillon, O. (Author), Guillemin, A. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
biological model
Cell culture
Cell populations
Cell proliferation
Confidence interval
erythropoiesis
Erythropoiesis
Fisher information matrices
Fisher information matrix
In-vitro
Mixed effects models
Model programs
Model reduction
Models, Biological
Nonlinear Dynamics
Nonlinear mixed effect model
Nonlinear mixed effects
Nonlinear mixed effects models
nonlinear system
Practical identifiability
reading frame
Reading Frames
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Internet

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