Design Optimization in Nonlinear Mixed Effects Models Using Cost Functions: Application to a Joint Model of Infliximab and Methotrexate Pharmacokinetics

DOI10.1080/03610920902833511zbMath1177.62094OpenAlexW2005899787MaRDI QIDQ3652668

Emmanuelle Comets, France Mentré, Caroline Bazzoli, Sylvie Retout

Publication date: 16 December 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://www.hal.inserm.fr/inserm-00424247/file/Retout_Comm_in_stat_2009.pdf

zbMATH Keywords

PFIMcost functiondesign optimizationFisher information matrixnonlinear mixed effects modelFedorov-Wynn algorithm

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Computer science aspects of computer-aided design (68U07) Medical applications (general) (92C50)

Uses Software

• PFIM

Cites Work

• Maximum likelihood estimation in nonlinear mixed effects models
• Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model
• Relative efficiency of unequal cluster sizes for variance component estimation in cluster randomized and multicentre trials
• Optimal design in random-effects regression models
• A maximum likelihood estimation method for random coefficient regression models
• Design of experiments with unknown parameters in variance
• Further Developments of the Fisher Information Matrix in Nonlinear Mixed Effects Models with Evaluation in Population Pharmacokinetics

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