The lasso—a novel method for predictive covariate model building in nonlinear mixed effects models
Jakob Ribbing(Pfizer (United States)), E. Niclas Jonsson(Uppsala University), Joakim Nyberg(Uppsala University), Ola Caster(Uppsala University)
Cited by 80
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
Accelerated Predictive Healthcare Analytics with Pumas, A High Performance Pharmaceutical Modeling and Simulation Platform
|bioRxiv (Cold Spring Harbor Laboratory)|2020|58
Population Pharmacokinetic Modeling and Optimal Sampling Strategy for Bayesian Estimation of Amikacin Exposure in Critically Ill Septic Patients
|Therapeutic Drug Monitoring|2010|57