**Title: Introduction to PmxStan, An R Library to Facilitate PKPD Modeling with Stan**

**Date:** 6 May 2016, 12:00:00 PM EST

**Presenter(s):** Yuan Xiong

**Skill Level:** (Intermediate)

**Pharmacometrics Study Group Link:** https://github.com/isop-phmx/studyGroup/issues/16

**Study Group Materials:** PMXStan_ISoP_webinar.pdf (1.2 MB)

**Calendar Addition (ics file) :** invite.ics (1.2 KB)

ACOP6 Poster available by clicking below

http://andrewgelman.com/2015/10/05/pmxstan-an-r-package-to-facilitate-bayesian-pkpd-modeling-with-stan/

Continuing the discussion from Introduction to PmxStan: An R Library to Facilitate PKPD Modeling with Stan:

**Background:** Using a Bayesian approach for making statistical inferences has been gaining popularity in recent years. Stan (http://mc-stan.org) is a Bayesian probabilistic programming language that implements an efficient Hamiltonian Monte Carlo method suitable for fitting larger and more complex models, and these capabilities are attracting more and more users, pharmacometricians in particular.

Currently, two hurdles have largely limited a broad application of Stan in pharmacometrics: 1) a steep learning curve for pharmacometricians to write PKPD model-specific C+Â±like Stan code; 2) no efficient solvers to work seamlessly with Stanâ€™s No-U-Turn Sampler (NUTS) for ordinary differential equations (ODEs) that are able to handle stiff ODE systems, often encountered in PKPD modeling.

Here we provide an R package called PMXStan to facilitate practical Bayesian PKPD modeling and simulation using Stan.

**About the ISOP Pharmacometrics Study Group**

- Do you have lab-meetings and learning tutorials in-house in your academic group, company or your neighborhood?
- Do you know that not all institutes have the same critical mass of pharmacometric experts as yours?
- Pharmacometrics Study Groups is a platform to share your learning experiences with peers all around the world. Turn those in-house lab meetings to global knowledge and skill sharing opportunities! .

**How it Works:** All events will be broadcast live via â€śGoogle Hangoutsâ€ť and detailed notes will be uploaded to the ISOP github site.

**Discussion and Questions During the Meeting:** You can ask questions by using the Reply Button below here in the Discuss Forum. The presenter will check back to the page during and at the end of the presentation to address questions.

**Duration:** Generally the study groups are of about 20-40 minute duration. if you need longer, consider having two study group sessions!

**Where to Sign up or Suggest an Event Topic:** https://isop-phmx.github.io/studyGroup/