Locally D-optimal designs based on a class of composed models resulted from blending Emax and one-compartment models

DOI10.1214/009053607000000776zbMath1132.62056arXiv0803.2108OpenAlexW2172085135MaRDI QIDQ2477067

Yanyan Li

Publication date: 12 March 2008

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0803.2108

zbMATH Keywords

nonlinear modelpharmacodynamic Emax modelpharmacokinetic compartmental model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (6)

Complete classes of designs for nonlinear regression models and principal representations of moment spaces ⋮ Optimal designs for nonlinear regression models with respect to non-informative priors ⋮ Optimal designs for some selected nonlinear models ⋮ Optimal Designs for Quantile Regression Models ⋮ A note on the de la Garza phenomenon for locally optimal designs ⋮ On the de la Garza phenomenon

Cites Work

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• Bayesian D-optimal designs for exponential regression models
• D- and c-optimal designs for exponential regression models used in viral dynamics and other applications
• Optimum designs for estimating \(ED_p\) based on raw optical density data
• Optimal and efficient designs for 2-parameter nonlinear models
• The Bayesian Analysis of Population Pharmacokinetic Models
• The Equivalence of Two Extremum Problems
• Bayesian Experimental Design for Nonlinear Mixed‐Effects Models with Application to HIV Dynamics
• Optimum Experimental Designs for Properties of a Compartmental Model
• Optimal design in random-effects regression models
• Modeling and Identifying Optimum Designs for Fitting Dose-Response Curves Based on Raw Optical Density Data
• Generalized Nonlinear Models for Pharmacokinetic Data
• Übersichtsarbeiten
• An extension of the General Equivalence Theorem to nonlinear models

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