MeRGE Expo
Each MeRGE (Metrum Research Group Ecosystem) Expo provides you with an in-depth introduction to setting up and running a modeling and simulation (M&S) analysis. It also explains how to employ the same processes and suite of tools we use at MetrumRG. What you can expect from each Expo:
- Step-by-step instructions through an example M&S analysis.
- A demonstration of how we ensure traceable and reproducible pharmacometrics research.
- Access to sample code through MetrumRG’s Github repository
- Information and vignettes highlighting our complete suite of tools.
Expo 1: Maximum Likelihood Population PK Analysis Using NONMEM
Demonstrates the suite of MeRGE tools pertaining to an example population PK analysis, including project set-up, data assembly, M&S activities, and reporting.
Expo 2: Bayesian Exposure-Response Analysis Using Stan
Get started with bbr.bayes, an extension of the bbr.package. bbr.bayes seamlessly integrates with Stan. The Expo demonstrates examples of using bbr.bayes in a typical Bayesian exposure-response M&S workflow, including model fitting, model evaluation and model summarization.
Expo 3: Bayesian Population PK Analysis Using NONMEM
Demonstrates the seamless integration of bbr.bayes with NONMEM Bayesian estimation methods: enables modelers to take advantage of advanced Bayesian modeling techniques, while leveraging bbr’s capabilities for model management, traceability, and reproducibility.
Expo 4: Bayesian Population PK Analysis Using Stan/Torsten
Demonstrates the use of bbr.bayes and Stan/Torsten in a typical Bayesian population PK M&S workflow, which includes model fitting, model evaluation, and model summarization.