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June 2017

Advanced use of Stan, rstan, and Torsten for pharmacometric applications

June 10, 2017 @ 8:30 am - 4:30 pm
Budapest Congress Centr, Jagelló út 1-3
Budapest, Hungary
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Workshop summary: We will provide a guided hands-on experience in the advanced use of Stan, rstan and Torsten 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. Torsten is a Stan extension containing a library of functions to simplify implementation of PKPD models. This workshop builds on the foundations presented in our previous introductory Stan workshops. Topics include model evaluation and comparison, models with…

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Advanced use of Stan, rstan, and Torsten for pharmacometric applications

June 10, 2017 @ 8:30 am - 4:30 pm
Budapest Congress Centr, Jagelló út 1-3
Budapest, Hungary
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Workshop summary: We will provide a guided hands-on experience in the advanced use of Stan, rstan and Torsten 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. Torsten is a Stan extension containing a library of functions to simplify implementation of PKPD models. This workshop builds on the foundations presented in our previous introductory Stan workshops. Topics include model evaluation and comparison, models with…

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July 2017

Toward Open Science: Translating literature-reported quantitative pharmacology models for simulation and interactive visual exploration

July 20, 2017 @ 11:30 am - 12:30 pm
CIC Cloud City Room, 101 Main Street
Cambridge, MA 02142 United States
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Come learn how we've used public data and powerful open source tools to explore questions in quantitative pharmacology. Lunch will be provided.

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September 2017

QSP Symposium in NYC 2017

September 29, 2017 @ 8:00 am - 5:30 pm
Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue Hess Building
New York, NY 10029 United States
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Please see event website for info. https://www.systems-pharmacology-symposium.com/

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QSP Symposium in NYC 2017

September 29, 2017 @ 8:00 am - 5:30 pm
CIC Cloud City Room, 101 Main Street
Cambridge, MA 02142 United States
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Please see event website for info. https://www.systems-pharmacology-symposium.com/

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October 2017

Advanced use of Stan, rstan, and Torsten for pharmacometric applications

October 15, 2017 @ 8:30 am - 4:30 pm
Marriott Resort: Harbor Beach Hotel, Fort Lauderdale, FL, United States + Google Map

Summary We will provide a guided hands-on experience in the advanced use of Stan, rstan and Torsten 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. Torsten is a Stan extension containing a library of functions to simplify implementation of PKPD models. This workshop builds on the foundations presented in our previous introductory Stan workshops. Topics include model evaluation and comparison, models with systems of…

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R as a single-step platform for PK/PD and PBPK/QSP M&S: integration of model estimation, optimization, simulation, and reporting

October 19, 2017 @ 8:30 am - 5:00 pm
Marriott Resort: Harbor Beach Hotel, Fort Lauderdale, FL, United States + Google Map

Summary We’ll introduce the concept of a single platform for modeling and simulation using R. After a brief refresher on basic mrgsolve use (an R package for simulation from ODE-based PKPD and QSP models), we will lead you through case studies reflecting real-world modeling and simulation workflows. The hands-on examples will focus on planning, executing, and presenting simulation-based answers to questions in drug development. Workshop examples will include: exploring study designs by interfacing mrgsolve with the optimal design package PopED…

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January 2018

StanCon 2018

January 10 - January 12

Metrum Research Group is proud to be a sponsor for StanCon 2018: Three days of talks, open discussions, and statistical modeling. We hope to see you there!  

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