Metrum Research Group
Training Programs
World-class pharmacometrics education from the team
advancing model-informed drug development.
Upcoming Trainings with Metrum Research Group
Efficient Reproducible Bayesian Population PK with NONMEM
May 19–21, 2026 (Tuesday, Wednesday,
and Thursday)
10:00 AM–2:00 PM ET
Join this 3-day hands-on workshop with 4-hour sessions each day.
This training covers efficient, reproducible, traceable Bayesian PopPK analyses using NONMEM within the MeRGE open-source ecosystem.
Prerequisites
- Working NLME/pop-PK knowledge, practical NONMEM experience, R fluency
Learning Objectives
- End-to-end Bayesian PPK workflow: priors to decisions
- Implement METHOD=BAYES/NUTS in NONMEM
- Diagnose MCMC: chains, ESS, R-hat; resolve convergence issues
- Reproducible audit-ready pipeline
Causal Concepts for Planning Analyses in Drug Development
June 10–11, 2026 (Wednesday and Thursday)
10:00 AM–2:00 PM ET
Join this 2-day hands-on workshop with 4-hour sessions each day.
A DAG-first workshop giving pharmacometricians the vocabulary and tools to plan analyses with causal clarity using dagitty and R.
Prerequisites
- Comfort with simple regression and exposure-response modeling
- No prior causal inference required
Learning Objectives
- Formulate clear causal questions and estimands
- Sketch and critique DAGs for PK/PD analyses
- Identify minimally sufficient adjustment sets
- Map DAG identification to methods: IPW/propensity scores
Attending PAGE in June?
Metrum Research Group will be hosting the workshop: Beyond the Hype: Practical Applications of LLMs in Pharmacometrics on June 2 during PAGE in Dubrovnik, Croatia.
While Generative AI promises to revolutionize drug development, the transition from 'chatting with a bot' to a validated pharmacometrics workflow remains a significant hurdle.
This hands-on session focuses on how to actually apply AI/LLMs in pharmacometric workflows - with an emphasis on practical implementation in real, regulated environments.
Past Trainings
Generalized Linear Models in R Workshop
Build, fit, and diagnose exposure–response models using maximum likelihood and Bayesian approaches in R, with decision-grade outputs.
Simulation Concepts with mrgsolve for Model-Based Decision Making
Applied simulation from population PK and PK–PD models to support clear, defensible decisions in drug development.
Interested in learning more about Metrum Research Group?
Get in touch with us.