Chapter 4 Applications of nlmixr

4.1 Posters, Presentations and Publications

• ACoP 2016, Seattle, USA: PosterACoP2016
• WCoP 2016, Brisbane, Australia: PosterWCoP2016
• On 8 December 2016, Rik Schoemaker presented a seminar on nlmixr at Uppsala University with the title: nlmixr: an open-source package for pharmacometric modelling in R (PresentationUppsala161208).
• PAGE 2017, Budapest, Hungary: PosterPAGE2017
• ACoP 2017, Fort Lauderdale, USA: PosterACoP2017
• nlmixr was presented at the 12^th Pharmacometrics Network Benelux Meeting (29 March 2018) with the title: Simulation (RxODE) and parameter estimation in nlmixr (PresentationPNB180326).
• PAGE 2018 Course, Montreux, Switzerland. PAGE 2018.
• PAGE 2018 Poster, Montreux, Switzerland. ShinyMixR: A project-centric R/Shiny run management tool for nlmixr
• ACoP9 Course, San Diego, USA Tutorial 1: nlmixr: Population Modeling in R
• CPT:PSP 2019 nlmixr tutorial (accepted)
• PAGANZ/ASCEPT 2019 Course, Auckland, New Zealand Population Approach workshop (pharmacometrics)
• PAGE 2019 Course, Stockholm, Sweden
• PAGE 2019 Poster, Stockholm, Sweden Performance of the SAEM and FOCEI algorithms in the open-source non-linear mixed effect modelling tool nlmixr
• ACoP10, nlmixr: Population modeling in R

A series of posters were presented at different conferences where nlmixr was compared to NONMEM. These findings provide evidence that nlmixr provides a viable open-source parameter estimation alternative for fitting nonlinear mixed effects pharmacometric models within the R environment. A publication comparing nlmixr to NONMEM/FOCEI and Monolix/SAEM was submitted.

Various other publications can be found here.