Serial correlation in optimal design for nonlinear mixed effects models
Joakim Nyberg(Uppsala University), Andrew C. Hooker(Uppsala University), Richard M. Hoglund(Mahidol University), Martin Bergstrand(Uppsala University), Mats O. Karlsson(Uppsala University)
Cited by 10
Related Papers
A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study
|The Lancet|2023|508
Machine Learning and Pharmacometrics for Prediction of Pharmacokinetic Data: Differences, Similarities and Challenges Illustrated with Rifampicin
|Pharmaceutics|2022|92
PopED: An extended, parallelized, nonlinear mixed effects models optimal design tool
|Computer Methods and Programs in Biomedicine|2012|86
Methods and software tools for design evaluation in population pharmacokinetics–pharmacodynamics studies
|British Journal of Clinical Pharmacology|2014|82
The lasso—a novel method for predictive covariate model building in nonlinear mixed effects models
|Journal of Pharmacokinetics and Pharmacodynamics|2007|80