Free workshop on Stan for pharmacometrics (Paris, 22 September 2016); preceded by (non-free) three day course on Stan for pharmacometrics

So much for one post a day…

Workshop: Stan for Pharmacometrics Day

If you are interested in a free day of Stan for pharmacometrics in Paris on 22 September 2016, see the registration page:

Julie Bertrand (statistical pharmacologist from Paris-Diderot and UCL) has finalized the program:

When Who What
09:00–09:30 Registration
9:30-10:00 Bob Carpenter Introduction to the Stan Language and Model Fitting Algorithms
10:00-10:30 Michael Betancourt Using Stan for Bayesian Inference in PK/PD Models
10:30-11:00 Bill Gillepsie Prototype Stan Functions for Bayesian Pharmacometric Modeling
11:00-11:30 coffee break
11:30-12:00 Sebastian Weber Bayesian popPK for Pediatrics – bridging from adults to pediatrics
12:00-12:30 Solene Desmee Using Stan for individual dynamic prediction of the risk of death in nonlinear joint models:
Application to PSA kinetics and survival in metastatic prostate cancer
12:30-13:30 lunch
13:30-14:00 Marc Vandemeulebroecke A longitudinal Item Response Theory model to characterize cognition over time in elderly subjects
14:00-14:30 William Barcella Modeling correlated binary variables: an application to lower urinary tract symptoms
14:30-15:00 Marie-Karelle Riviere Evaluation of the Fisher information matrix without linearization in
nonlinear mixed effects models for discrete and continuous outcomes
15:00-15:30 coffee break
15:30-16:00 Dan Simpson TBD
16:00-16:30 Frederic Bois Bayesian hierarchical modeling in pharmacology and toxicology / about what we need next
16:30-17:00 Everyone Discussion

 

Course: Bayesian Inference with Stan for Pharmacometrics

The three days preceding the workshop (19–21 September 2016), Michael Betancourt, Daniel Lee, and I will be teaching a course on Stan for Pharmacometrics. This, alas, is not free, but if you’re interested, registration details are here:

It’s going to be very hands-on and by the end you should be fitting hierarchical PK/PD models based on compartment differential equations.

P.S. As Andrew keeps pointing out, all proceeds (after overhead) go directly toward Stan development. It turns out to be very difficult to get funding to maintain software that people use, because most funding is directed at “novel” research (not software development, research, which means prototypes, not solid code). These courses help immensely to supplement our grant funding and let us continue to maintain Stan and its interfaces.