Building Simulation-based Applications using R shiny and mrgsolve

Global Leader in Biomedical Modeling and SimulationSupporting Your R&D Decision

Metrum Research Group

This is a 2 day workshop, 9am - 4:30 Monday and Tuesday.
We will provide a guided hands-on experience in the use of the R package mrgsolve (<A HREF="https://mrgsolve.github.io" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://mrgsolve.github.io</A>). mrgsolve is a free, open source, validated R package to facilitate simulation from hierarchical, ODE-based PK/PD and systems pharmacology models frequently employed in pharmaceutical research and development programs. You will code, execute, and summarize PK, PK/PD simulations using mrgsolve and R.  On day two, we will introduce the shiny framework, building on the modeling techniques we’ve learned in day one to develop a number of dashboards and applications that allow the modeling results to be controlled and visualized through interactive user interfaces.  
Materials Provided by Metrum: Metworx user login (with 1-week access post-workshop), course slides, data and code for all examples.  
Requirements for Attendees: Knowledge and experience in PKPD modeling and simulation, nonlinear mixed effects modeling and the use of R (or S-PLUS).  
Participants should bring a laptop that meets the following requirements:
<UL>
<LI>Browser: Chrome, Firefox, or Safari</LI>
<LI>Internet access via Wi-Fi</LI>
</UL>
Upon completion of this workshop, participants should be able to:
<UL>
<LI>Code ODE-based models in mrgsolve format  </LI>
<LI>Work with mrgsolve model objects and simulation output  </LI>
<LI>Create simulations of varying complexity, using event objects and simulation data sets  </LI>
<LI>Create population simulations that incorporate uncertainty in the parameters to address questions in drug development  </LI>
<LI>Build and develop shiny applications</LI>
<LI>Combine mrgsolve and shiny to develop interactive decision-support tools</LI>
</UL>

Hotel C Stockholm

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Building Simulation-based Applications using R shiny and mrgsolve

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Building Simulation-based Applications using R shiny and mrgsolve

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