A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses
E. Niclas Jonsson(Uppsala University), Joakim Nyberg(Uppsala University)
Cited by 18
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
Accelerated Predictive Healthcare Analytics with Pumas, A High Performance Pharmaceutical Modeling and Simulation Platform
|bioRxiv (Cold Spring Harbor Laboratory)|2020|58