University of Minnesota Advanced R Workshop with Metrum Research Group

Date: February 24 – March 10, 2018 (Three consecutive Saturdays)

Time: 1 pm – 5 pm

The University of Minnesota Department of Experimental and Clinical Pharmacology, in collaboration with Metrum Research Group and the ISoP Student Leadership Committee, will present a series of three tutorial sessions on applied simulation and model visualization with the mrgsolve package for R.  It is expected that participants will be comfortable programming basic data analysis tasks in R prior to the tutorial sessions. Attendees will need to bring their own computer that has R and the mrgsolve package installed before the session. Help installing will be available prior to the workshop if needed, but time will not be spent during the workshop installing software.

The sessions are scheduled to take place at the University of Minnesota East Bank Campus (location TBD) on consecutive Saturdays beginning February 24th through March 10th from 1 PM to 5 PM. Attendance is free and open to all.

Please RSVP to Samuel Callisto (calli055@umn.edu) by Friday, February 9th if you plan to attend.

Session 1: Get started with mrgsolve

In this tutorial session, we will help you get started executing model-based simulations with mrgsolve.  This will be a hands-on, code-along session to introduce you to the mrgsolve model specification format and the simulation workflow in R.  We’ll start with a very simple model, illustrating the basic model components and simulation workflow, and work our way up to more-complicated population PK/PD models.

Session 2: Soup to nuts: generating model-based answers with mrgsolve

Starting with a blank computer screen, we will code together a population PK/PD model from a journal publication and replicate one of the authors’ basic model based findings.  The intent with this session is to solidify the concepts and ideas presented in session 1 with a real-world model and a real-world question to answer with the model.  Along the way, we’ll continue to introduce more advanced techniques for coding your model and executing and visualizing your simulations with the ggplot2 R package.

Session 3: Applied simulation with mrgsolve

In this tutorial session, we will look at several different questions that can arise in development and see how to use model-based simulation to answer them.  The session will emphasize writing the code required to generate a simulation-based answer to the question at hand.  Example questions include:

1.Probability of technical success assessment using an EPO population PK/PD model

2.Evaluation of combination regimens using a QSP model for MAPK signaling in colorectal cancer

3.Probability of target attainment using a population PK model for meropenem

4.Simulation-based assessment of operating characteristics of a bioequivalence trial when there is inter-occasion variability in clearance

5.Using mrgsolve as a backend for Shiny apps

mrgsolve is free, open-source software developed by Metrum Research Group for simulation from PK/PD and QSP models in R. More information can be found athttp://mrgsolve.github.io

Please RSVP to Samuel Callisto (calli055@umn.edu) by Friday, February 9th if you plan to attend.