ArticleJournal of pharmacokinetics and pharmacodynamics2007
Optimal design for multiresponse pharmacokinetic-pharmacodynamic models - dealing with unbalanced designs.
Article in Journal of pharmacokinetics and pharmacodynamics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Pretomanid dose selection for pulmonary tuberculosis: An application of multi-objective optimization to dosage regimen design.CPT: pharmacometrics & systems pharmacology · 2021Trial
- Robust and Adaptive Two-stage Designs in Nonlinear Mixed Effect Models.The AAPS journal · 2023Article
- Optimal sampling of antipsychotic medicines: a pharmacometric approach for clinical practice.British journal of clinical pharmacology · 2014Article
- Population Fisher information matrix and optimal design of discrete data responses in population pharmacodynamic experiments.Journal of pharmacokinetics and pharmacodynamics · 2011Article
- Development of an optimized dose for coformulation of zidovudine with drugs that select for the K65R mutation using a population pharmacokinetic and enzyme kinetic simulation model.Antimicrobial agents and chemotherapy · 2008Article
- Optimisation of sampling windows design for population pharmacokinetic experiments.Journal of pharmacokinetics and pharmacodynamics · 2008Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper addresses the problem of determining D-optimal designs for multiresponse pharmacokinetic-pharmacodynamic (PKPD) experiments where data on each response variable can be collected at different times. Most previous multiresponse model optimal design applications have considered the case where all response variables are measured at the same time points. However in practice it may not be possible to have all responses measured at the same sampling times. We propose an optimal design method to take into account the unbalanced nature of the problem. The method developed was applied to a PKPD problem that involved describing the time course of drug plasma concentrations, heart rate and mean arterial blood pressure for both a fixed effects and mixed effects regression model. Additionally a simulation study was carried out in NONMEM for one such population optimal design problem.
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Registered trials
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