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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…Find out more
In this tutorial session, we will review case studies in PBPK and QSP modeling and simulation using mrgsolve in R. mrgsolve (https://mrgsolve.github.io) is a free, open-source modeling and simulation platform to support ODE-based model development in R. Outline: mrgsolve overview (brief tutorial) PBPK model characterizing drug-drug interactions between HMG-CoA reductase inhibitors and cyclosporine (Yoshikado et al. 2016; PMID 27170342) Sensitivity analyses Parameter estimation Evaluation of combination chemotherapy regimens using a QSP model for MAP kinase signaling in colorectal cancer (Kirouac…Find out more
Join us for a guided hands-on experience in the advanced use of Stan, rstan, and Torsten for Bayesian PKPD modeling.
Topics include: model evaluation and comparison, models with systems of ODEs, optimizing Stan code, using MCMC results for population and trial simulations, and much more!
You will execute Bayesian data analysis examples using Stan. Via the examples, you will learn to implement population PKPD models including those involving censoring, numerical solution of ODEs, and user-defined probability distributions and likelihoods.
We will provide a guided hands-on experience in the use of the R package mrgsolve. 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 and systems pharmacology model simulations using mrgsolve and R. Through many examples, you will learn to implement model-based simulations to help address questions at a variety of stages of a development program.Find out more
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