The effect of Fisher information matrix approximation methods in population optimal design calculations
Eric A. Strömberg(Uppsala University), Andrew C. Hooker(Uppsala University), Joakim Nyberg(Uppsala University)
Cited by 11
Related Papers
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
Advanced Methods for Dose and Regimen Finding During Drug Development: Summary of the EMA/EFPIA Workshop on Dose Finding (London 4–5 December 2014)
|CPT Pharmacometrics & Systems Pharmacology|2017|68