Related Experiment Video
Updated: Jul 16, 2026

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine
Published on: July 24, 2018
Further developments of the Fisher information matrix in nonlinear mixed effects models with evaluation in population
1INSERM U436, Département d'Epidémiologie, Biostatistique et de Recherche Clinique, Hôpital Bichat-Claude Bernard, Paris, France. sylvie.retout@bch.ap-hop-paris.fr
Abstract:
We extend the development of the expression of the Fisher information matrix in nonlinear mixed effects models for designs evaluation. We consider the dependence of the marginal variance of the observations with the mean parameters and assume an heteroscedastic variance error model. Complex models with interoccasions variability and parameters quantifying the influence of covariates are introduced. Two methods using a Taylor expansion of the model around the expectation of the random effects or a simulated value, using then Monte Carlo integration, are proposed and compared. Relevance of the resulting standard errors is investigated in a simulation study with NONMEM.
More Related Videos
Related Concept Videos
Analysis of Population Pharmacokinetic Data
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Nonlinear Pharmacokinetics: Overview
Nonlinearity can arise due to the saturation of plasma protein-binding or...
Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding
To quantify the extent of bioavailability, pharmacologists often use a parameter called .
Pharmacodynamic Models: Linear Concentration–Effect Model

