Simulation Concepts and their Application to Model-Informed Drug Development

Metrum Research Group (http://metrumrg.com/) will present a one-and-a-half-day workshop entitled “Simulation Concepts and their Application to Model-Informed Drug Development.” on Thursday and Friday, October 24-25, 2019. This hands-on workshop will provide participants with a foundation for applying simulation to decision-making in the drug development process.  The workshop will begin with a discussion of how to translate key questions into quantitative decision criteria, suitable to be addressed through simulation.  This will be followed by an introduction to mrgsolve, an open-source platform for simulation in R (https://mrgsolve.github.io), and a discussion of fundamental simulation concepts, such as how to implement uncertainty and variability to produce appropriate simulation output.  Finally, the workshop will wrap up with hands-on case studies in mrgsolve, allowing the students to implement what they’ve learned.

 

This workshop will be held in conjunction with ACoP. You can add this event to your ACoP registration at https://www.go-acop.org/  (registration opens June 1).

 

Pricing for 1.5 day workshop:

  • Industry $1100
  • Academic/Government $600
  • Student $375

Schedule:

October 24th:  1:00PM-5:00PM

October 25th:  8:00AM-5:00PM

Introduction to Bayesian pharmacometric data analysis with NONMEM

Metrum Research Group (http://metrumrg.com/) will present a one-day workshop entitled  “Introduction to Bayesian pharmacometric data analysis with NONMEM” on Saturday 19 October 2019.  In this workshop, we will introduce principles and methods of Bayesian data analysis for pharmacometric applications.  We will provide a guided hands-on experience in Bayesian data analysis using NONMEM v7.4. The hands-on examples will focus on population PK and PK/PD models with specific attention to situations when informative prior distributions can be used to reflect pharmacological understanding.  The course will cover basic Bayesian and Markov chain Monte Carlo methodology, methods for model evaluation and MCMC convergence, and tips for implementation of models in NONMEM.  The course will end with an introduction to fitting Bayesian population PK and PK/PD models with Stan/Torsten.

 

This workshop will be held in conjunction with ACoP. You can add this event to your ACoP registration at https://www.go-acop.org/  (registration opens June 1).

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