The importance of modeling interoccasion variability in population pharmacokinetic analyses
- 1 December 1993
- journal article
- Published by Springer Science and Business Media LLC in Journal of Pharmacokinetics and Biopharmaceutics
- Vol. 21 (6), 735-750
- https://doi.org/10.1007/bf01113502
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidineJournal of Pharmacokinetics and Biopharmaceutics, 1992
- Building population pharmacokineticpharmacodynamic models. I. Models for covariate effectsJournal of Pharmacokinetics and Biopharmaceutics, 1992
- Intraindividual Variability in Nifedipine Pharmacokinetics and Effects in Healthy SubjectsThe Journal of Clinical Pharmacology, 1992
- A population analysis of the pharmacokinetics and pharmacodynamics of midazolam in the ratJournal of Pharmacokinetics and Biopharmaceutics, 1991
- Nonparametric EM Algorithms for estimating prior distributionsApplied Mathematics and Computation, 1991
- A three-step approach combining bayesian regression and NONMEM population analysis: Application to midazolamJournal of Pharmacokinetics and Biopharmaceutics, 1991
- Application of the NONMEM Method to Evaluation of the Bioavailability of Drug ProductsJournal of Pharmaceutical Sciences, 1990
- Application of NONMEM to routine bioavailability dataJournal of Pharmacokinetics and Biopharmaceutics, 1990
- Bioavailability estimation by semisimultaneous drug administration: A Monte Carlo simulation studyJournal of Pharmacokinetics and Biopharmaceutics, 1990
- A maximum likelihood estimation method for random coefficient regression modelsBiometrika, 1986