NONMEM Users Network Archive

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[NMusers] Learning and Development at PAGE

From: Matthew Riggs <riggsmm_at_yahoo.com>
Date: Fri, 8 Feb 2019 02:27:07 +0000 (UTC)

Please consider joining us for two unique learning and development opportun=
ities at PAGE2019!
"Building Simulation-based Applications Using R Shiny and mrgsolve" with De=
vin 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 Congr=
ess Centre, Stockholm, Sweden). We will provide a guided hands-on experienc=
e in the use of the R package mrgsolve (https://mrgsolve.github.io). mrgsol=
ve is a free, open source, validated R package to facilitate simulation fro=
m 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 dashboa=
rds and applications that allow the modeling results to be controlled and v=
isualized 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 _at_ 1:30 pm - 4:30 pmThis is a half-day workshop on the use of Stan a=
nd R for PKPD applications held on Friday, 14 June, 13:30-17:30. We will de=
monstrate 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 B=
ayesian data analysis using Hamiltonian Monte Carlo (HMC) simulation=
a type of MCMC simulation. Via the examples you will see how to implemen=
t nonlinear regression models, nonlinear mixed effects models and additiona=
l programming required for population PKPD models. The latter includes lear=
ning how to deal with dosing and observation event schedules specified usin=
g NONMEM conventions. Models requiring numerical solution of differential e=
quations will also be demonstrated. We will discuss the pros and cons of St=
an relative to other tools.
Learn more and register at: https://www.metrumrg.com/events/

---

Matthew M. Riggs, Ph.D.   |   Chief Science Office=
r  

Group Leader, Translational and Systems Pharmacology M&S

Metrum Research Group   |   2 Tunxis Road,  S=
uite 112   |   Tariffville, CT  06081  USA

mattr_at_metrumrg.com



Received on Thu Feb 07 2019 - 21:27:07 EST

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