Incorporating prior parameter uncertainty in the design of sampling schedules for pharmacokinetic parameter estimation experiments

DOI10.1016/0025-5564(90)90141-KzbMath0699.62101OpenAlexW2006966286WikidataQ46894017 ScholiaQ46894017MaRDI QIDQ913435

David Z. D'Argenio

Publication date: 1990

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(90)90141-k

zbMATH Keywords

nonlinear parameter estimationAPI-optimal designsexpected posterior informationpharmacokinetic sample schedule design problemplasma concentration of a drugprior parameter uncertainty

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Statistical aspects of information-theoretic topics (62B10)

Related Items (5)

Towards Bayesian experimental design for nonlinear models that require a large number of sampling times ⋮ Design optimality for models defined by a system of ordinary differential equations ⋮ Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation of nonlinear regression models: Application in pharmacokinetics ⋮ A Review of Modern Computational Algorithms for Bayesian Optimal Design ⋮ Information matrices with random regressors. Application to experimental design

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