Efficient Algorithms for Optimal Designs with Correlated Observations in Pharmacokinetics and Dose-Finding Studies

DOI10.1111/j.1541-0420.2011.01657.xzbMath1241.62156OpenAlexW2083097762WikidataQ42612807 ScholiaQ42612807MaRDI QIDQ2893997

Tim Holland-Letz, Dette, Holger, Didier Renard

Publication date: 27 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01657.x

zbMATH Keywords

random effectscorrelated observationsdose-finding studieslocally optimal designheteroscedastic regressionmultiplicative algorithmspopulation pharmacokinetics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Measures of association (correlation, canonical correlation, etc.) (62H20) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (2)

On the combination of c‐ and D‐optimal designs: General approaches and applications in dose–response studies ⋮ Evaluation of Combinatorial Optimisation Algorithms for c-Optimal Experimental Designs with Correlated Observations

Cites Work

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• Optimal design in random-effects regression models
• Further Developments of the Fisher Information Matrix in Nonlinear Mixed Effects Models with Evaluation in Population Pharmacokinetics
• Optimal Design of Experiments
• Locally Optimal Designs for Estimating Parameters

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