Learning and Development at PAGE

From: Matthew Riggs Date: February 08, 2019 event Source: mail-archive.com
Please consider joining us for two unique learning and development opportunities at PAGE2019! "Building Simulation-based Applications Using R Shiny and mrgsolve" with Devin Pastoor, Ph.D. June 10 - June 11 This is a two day workshop held on 10 & 11 June, 9:00am - 4:30pm each day. The location will be near the PAGE 2019 meeting (Stockholm Waterfront Congress Centre, Stockholm, Sweden). We will provide a guided hands-on experience in the use of the R package mrgsolve ( https://mrgsolve.github.io). 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. "Getting Started with Bayesian PKPD Modeling Using Stan/Torsten: Practical Use of Stan and R for PKPD Applications" with William R. Gillespie, Ph.D.! June 14 @ 1:30 pm - 4:30 pmThis is a half-day workshop on the use of Stan and R for PKPD applications held on Friday, 14 June, 13:30-17:30. We will demonstrate the use of Stan ( http://mc-stan.org/) and the R package rstan for Bayesian PKPD modeling. Stan is a flexible open-source software tool for Bayesian data analysis using Hamiltonian Monte Carlo (HMC) simulation—a type of MCMC simulation. Via the examples you will see how to implement nonlinear regression models, nonlinear mixed effects models and additional programming required for population PKPD models. The latter includes learning how to deal with dosing and observation event schedules specified using NONMEM conventions. Models requiring numerical solution of differential equations will also be demonstrated. We will discuss the pros and cons of Stan relative to other tools. Learn more and register at: https://www.metrumrg.com/events/ --- Matthew M. Riggs, Ph.D. | Chief Science Officer Group Leader, Translational and Systems Pharmacology M&S Metrum Research Group | 2 Tunxis Road, Suite 112 | Tariffville, CT 06081 USA [email protected]