Using Past Models to Bridge to Open Models and Open Science using nlmixr2

Workshop target audience

Pharmacometricians/modelers with basic knowledge on model building, evaluation and qualification. Knowledge of nlmixr2, Monolix and/or NONMEM helpful. Basic knowledge of writing and executing R scripts is required.

Workshop overview

Open science is a movement to make science available to all levels of society. The science in much of population-based pharmacometrics in the past has been focused on developing nonlinear mixed effects models in proprietary tools like NONMEM and Monolix. This makes it necessary to have licenses of whatever tool is being used to be able to explore models with your data. Special populations in low to middle income countries may not have access to these tools which makes analysis of additional clinical data in these regions more challenging. This tutorial discusses automated methods to import NONMEM and Monolix into the open-source framework rxode2 and nlmixr2 using packages like nonmem2rx, monolix2rx and babelmixr2. Once converted, you can use these models to make patient-based adaptive dosing decisions, simulate other dosing scenarios and even use the model to analyze new data and explore any regional differences in drug effect.

Learning Objectives

• Participants learn the basics of how a nlmixr2/rxode2 model is written and can write a model themselves.

• Participants will know how to import NONMEM and Monolix models into the nlmixr2/rxode2 model function using nonmem2rx and monolix2rx

• Upon completion, participants will know how to simulate new dosing scenarios using rxode2

• Upon completion, participants will know how to (re-)estimate new data using nlmixr2

• Participants will learn how to use imported models to design new studies using babelmixr2 and PopED

• Participants learn how to individualize dosing clinically using posologyr

Workshop materials

The materials for the course are available in the nlmixr2 courses repository.