*Metrum Research Group* https://www.metrumrg.com/ will present a one-day
workshop entitled “*Flexible and efficient Bayesian pharmacometric data
analysis using Torsten*” on *Tuesday 9 June 2020, 08:00-17:00*. The
location site will be near the PAGE 2020 meeting (Cankarjev Dom cultural
and congress centre, Ljubljana, Slovenia).
We will provide a guided hands-on experience in the use of Torsten
https://github.com/metrumresearchgroup/Torsten for Bayesian
pharmacometric modeling with emphasis on models requiring numerical
solution of ordinary differential equations (ODEs). Torsten extends Stan
http://mc-stan.org/, a flexible open-source software platform for
Bayesian data analysis, by addition of a library of functions for efficient
implementation of pharmacometric models. This workshop builds on the
foundations presented in our previous introductory Stan workshops
https://www.metrumrg.com/course/brief-introduction-bayesian-modeling-using-stan/.
You will execute Bayesian data analysis examples using Torsten. Via the
examples you will learn to implement PK and PKPD models including those
involving censoring, numerical solution of ODEs, and user-defined
probability distributions and likelihoods. Additional topics will include
within-chain parallel computation and use of Stan’s ADVI inference engine
for approximate Bayesian analysis. Cost (USD) will be $600 for industry,
$300 for academia/government/non-profit and $150 for students. Click here
https://www.eventbrite.com/e/flexible-and-efficient-bayesian-pharmacometric-data-analysis-using-torsten-tickets-96651409969?ref=estw
for
details and registration.