Michael Betancourt and one other member of the Stan team will present a day-long class on pharmacological modeling with Stan. If you are new to Stan, consider taking the Introduction to Stan on January 19th. You can buy a two-day ticket here.
The class will assume familiarity with the basics of Bayesian inference, pharmacological modeling, basic programming in R and Stan. All exercises will be given in RStan. The Introduction to Bayesian Inference with Stan class on January 10 will review much of this material and is highly recommended for anyone wishing to brush up.
In this class we will focus on interactive examples demonstrating introductory pharmacological modeling with Stan via the RStan interface. Exercises will cover
- implementing statistical models with ordinary differential equations
- building modular pharmacological models
- incorporating hierarchical population structure
Throughout each exercise we will emphasize robust modeling practice, especially validating model fits and criticzing models with posterior predictive checks.
Date and Time
Davis Auditorium, Columbia University
530 West 120th Street
4th floor (campus level), room 412
New York, NY 10027