Add to ORKGThis article represents the first in a series of tutorials on model evaluation in nonlinear mixed effect models (NLMEMs), from the International Society of Pharmacometrics (ISoP) Model Evaluation Group. Numerous tools are available for evaluation of NLMEM, with a particular emphasis on visual assessment. This first basic tutorial focuses on presenting graphical evaluation tools of NLMEM for continuous data. It illustrates graphs for correct or misspecified models, discusses their pros and cons, and recalls the definition of metrics used
Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated ...
Abstract. A nonparametric smoothing method for assessing the adequacy of generalized linear mixed mo...
L’utilisation des modèles non linéaires à effets mixtes (MNLEM) ne cesse de croître dans l’étude et ...
This article represents the first in a series of tutorials on model evaluation in nonlinear mixed ef...
This article represents the first in a series of tutorials on model evaluation in nonlinear mixed ef...
International audienceThis article represents the first in a series of tutorials on model evaluation...
Purpose. It is often difficult to estimate parameters from individual clinical data because of noisy...
International audiencePharmacokinetic/pharmacodynamic data are often analysed using nonlinear mixed-...
International audienceThis article revisits twenty years of our work in developing evaluation tools ...
PURPOSE. It is often difficult to estimate parameters from indi-vidual clinical data because of nois...
Population PK models aim to describe the change in drug concentration over time for a specific popul...
International audiencePURPOSE: The aim of this study is to define and illustrate metrics for the ext...
International audienceData below the quantification limit (BQL data) are a common challenge in data ...
In drug development clinical trials are designed to investigate whether a new treatment is safe and ...
Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly ...
Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated ...
Abstract. A nonparametric smoothing method for assessing the adequacy of generalized linear mixed mo...
L’utilisation des modèles non linéaires à effets mixtes (MNLEM) ne cesse de croître dans l’étude et ...
This article represents the first in a series of tutorials on model evaluation in nonlinear mixed ef...
This article represents the first in a series of tutorials on model evaluation in nonlinear mixed ef...
International audienceThis article represents the first in a series of tutorials on model evaluation...
Purpose. It is often difficult to estimate parameters from individual clinical data because of noisy...
International audiencePharmacokinetic/pharmacodynamic data are often analysed using nonlinear mixed-...
International audienceThis article revisits twenty years of our work in developing evaluation tools ...
PURPOSE. It is often difficult to estimate parameters from indi-vidual clinical data because of nois...
Population PK models aim to describe the change in drug concentration over time for a specific popul...
International audiencePURPOSE: The aim of this study is to define and illustrate metrics for the ext...
International audienceData below the quantification limit (BQL data) are a common challenge in data ...
In drug development clinical trials are designed to investigate whether a new treatment is safe and ...
Pharmacometric model-based analysis using nonlinear mixed-effects models (NLMEM) has to date mainly ...
Analyses of longitudinal data with non-linear mixed-effects models (NLMEM) are typically associated ...
Abstract. A nonparametric smoothing method for assessing the adequacy of generalized linear mixed mo...
L’utilisation des modèles non linéaires à effets mixtes (MNLEM) ne cesse de croître dans l’étude et ...