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Computer Methods and Programs in Biomedicine|June 24, 2004
Perl-speaks-NONMEM (PsN)--a Perl module for NONMEM related programmingLars Lindbom, Jakob Ribbing, E Niclas Jonsson
Journal of Pharmacokinetics and Pharmacodynamics|September 24, 2004
Power, selection bias and predictive performance of the Population Pharmacokinetic Covariate ModelJakob Ribbing, E Niclas Jonsson
Journal of Pharmacokinetics and Pharmacodynamics|November 9, 2007
Non-Bayesian knowledge propagation using model-based analysis of data from multiple clinical studiesJakob Ribbing, Andrew C Hooker, E Niclas Jonsson
Journal of Pharmacokinetics and Pharmacodynamics|May 23, 2007
The lasso--a novel method for predictive covariate model building in nonlinear mixed effects modelsJakob Ribbing, Joakim Nyberg, Ola Caster, et al.
Computer Methods and Programs in Biomedicine|July 19, 2005
PsN-Toolkit--a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEMLars Lindbom, Pontus Pihlgren, E Niclas Jonsson, et al.
Journal of Pharmacokinetics and Pharmacodynamics|November 18, 2008
The use of clinical irrelevance criteria in covariate model building with application to dofetilide pharmacokinetic dataKarin Tunblad, Lars Lindbom, Lynn McFadyen, et al.
Journal of Pharmacokinetics and Pharmacodynamics|February 22, 2025
The impact of misspecified covariate models on inclusion and omission bias when using fixed effects and full random effects modelsJoakim Nyberg, E Niclas Jonsson
CPT: Pharmacometrics & Systems Pharmacology|June 28, 2024
Full random effects models (FREM): A practical usage guideE Niclas Jonsson, Joakim Nyberg
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