The Expo demonstrates using bbr.bayes and Stan/Torsten in a typical Bayesian (Bayes) population pharmacokinetic (popPK) modeling and simulation (M&S) analysis, which includes, model fitting, model evaluation, and model summarization. This demonstration uses the same processes and suite of tools used at Metrum Research Group (MetrumRG) to ensure traceable and reproducible pharmacometrics research; however, it is not meant to be a complete vignette on using all of the features of bbr.bayes or the other tools used in the workflow. Links are provided in the tools section of the expo with additional information about each of the tools used.
What you’ll find in this Expo:
A description of the data and statistical models fitted to the data.
Our approach to M&S activities and reporting.
Access to example code in a GitHub repository.
Information and vignettes on MetrumRG’s suite of tools.
The diagram below illustrates the end-to-end process of a typical project from setup through completion. (Click through to visit the PDF with hyperlinks.)
This analysis was performed on Metworx, our platform as a service (PaaS) for high-performance, elastic cloud computing; however, Metworx is not a requirement to use the tools and process illustrated here.
For comments, questions, or more information about any of the tools or work process demonstrated here, please contact us.