Two-stage Adaptive Designs in Nonlinear Mixed Effects Models: Application to Pharmacokinetics in Children

DOI10.1080/03610918.2014.930901zbMath1383.62267OpenAlexW2003475051MaRDI QIDQ2816677

France Mentré, Marylore Chenel, Cyrielle Dumont

Publication date: 25 August 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://www.hal.inserm.fr/inserm-01076940/file/Dumont_HAL.pdf

zbMATH Keywords

design optimizationadaptive designnonlinear mixed effects modelspopulation pharmacokinetics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05)

Uses Software

• R

Cites Work

• Unnamed Item
• Robust experiment design via maximin optimization
• Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties
• Optimal Design for Nonlinear Response Models
• Model Selection and Model Averaging
• Optimal design in random-effects regression models
• A Unified Theory of Two-Stage Adaptive Designs

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