Events

Sat, June 10, 2017
8:30 AM – 4:30 PM CEST
Budapest Congress Centre
Jagelló út 1-3
Budapest, Hungary

Summary

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 systems of ODEs, optimizing Stan code, using MCMC results for populatin and trial simulations, and 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.

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Sunday, October 15, 2017
8:30 AM – 4:30 PM EDT
Marriott Resort: Harbor Beach Hotel
Fort Lauderdale, FL

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 ODEs, optimizing Stan code, using MCMC results for populatin and trial simulations, and 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.

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Thursday, October 19, 2017
8:30 AM – 5:00 PM EDT
Marriott Resort: Harbor Beach Hotel
Fort Lauderdale, FL

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: (1) exploring study designs by interfacing mrgsolve with the optimal design package PopED, (2) generating MAP Bayes estimates from established population PK models, and (3) demonstrating several optimizers available in R for parameter estimation in non-hierarchical (deterministic) models. In addition, we’ll review model PLUGINs to extend the mrgsolve model format for more advanced simulation models. This will all lead into an annotated model format and a process for creating modeling simulation documentation in .pdf, .html , or .md format - all on a single-source, open-source, easily-traceable and reproducible compute platform.

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